Best matching news and articles for Deep Learning

Title Summary/Keywords
Deep Reinforcement Learning: Artificial Intelligence, Machine Learning and Deep Learning Introduction, Overview and Contras...
https://medium.com/ | 04-Aug-2020 17:23:03
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Content: Deep reinforcement learning DRL is poised to revolutionize the field of Artificial Intelligence AI and represents step toward building autonomous systems with higher level understanding of the visual world. Currently, Deep Learning is enabling Reinforcement Learning RL to scale to problems tha...

Keywords: visual, artificial intelligence, neural network, game, network
Deep Learning: Relationship between Artificial Intelligence, Machine Learning & Deep Learning | by Vishnu Vijayan PV | Aug, ...
https://medium.com/ | 04-Aug-2020 17:23:03
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Content: Within the machine learning fields, there is an area often referred to as brain inspired computation. Human brain is one of the best machines we know for learning and solving problems. The brain inspired technique is indeed inspired by how our human brain works. It is believed that the main comput...

Keywords: ai , artificial intelligence, tpu, neural network, machine learning
Work on Artificial Intelligence Projects
https://becominghuman.ai/ | 04-Aug-2020 14:33:44
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Content: In this article, will show you, Beginner, to Intermediate level Projects. Artificial Intelligence consists of three main components, which are Data Science, Machine Learning, and Deep Learning. All the projects are solved and explained. If you are new to Artificial Intelligence and Machine Learning ...

Keywords: tensorflow, classification, machine learning, data
Multi-GPU and distributed training using Horovod in Amazon SageMaker Pipe mode
https://aws.amazon.com/ | 04-Aug-2020 21:48:21
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Content: There are many techniques to train deep learning models with small amount of data. Examples include transfer learning, few shot learning, or even one shot learning for an image classification task and fine tuning for language models based on pre trained BERT or GPT2 model. However, you may still hav...

Keywords: deep learning framework, tensorflow, gpu
ValueError: Input 0 of layer dense is incompatible with the layer: while adopting Keras seq 2 seq model?
https://stackoverflow.com/ | 04-Aug-2020 21:50:19
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Content: understand why am getting this error and am unsure how to fix it. The reason this error is coming is because my decoder dense layer is expecting the shape of words when give it the target word of length 1. don t get how can fix this error because can t use the first model to predict when don t have ...

Keywords: tensorflow, metric, tpu, python, framework
Named Entity Recognition (NER)
https://thecleverprogrammer.com/ | 04-Aug-2020 16:16:09
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Content: Named Entity means anything that is real world object such as person, place, any organisation, any product which has name. For example My name is Aman, and and Machine Learning Trainer . In this sentence the name Aman , the field or subject Machine Learning and the profession Trainer and named...

Keywords: tensorflow, nlp, machine learning, analytic
Impact on Jobs across Emerging Technologies During the Current Pandemic Crisis | By AIM & Jigsaw Academy
https://analyticsindiamag.com/ | 04-Aug-2020 09:34:26
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Content: Analytics India Magazine AIM along with Jigsaw Academy, has developed this study to focus on the impact on jobs across certain emerging technologies. Jigsaw Academy, with over 400 years of combined teaching experience, including online and remote learning delivery, is adept at training and upskill...

Keywords: aws, internet of things, startup
Deep Learning Techniques for Future Intelligent Cross-Media Retrieval. (arXiv:2008.01191v1 [cs.IR])
http://arxiv.org/ | 05-Aug-2020 08:55:00
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Content: With the advancement in technology and the expansion of broadcasting,cross media retrieval has gained much attention. It plays significant role inbig data applications and consists in searching and finding data from differenttypes of media. In this paper, we provide novel taxonomy according to thech...

Keywords: dl , network, big data
A Study on Effects of Implicit and Explicit Language Model Information for DBLSTM-CTC Based Handwriting Recognition. (arXiv:...
http://arxiv.org/ | 05-Aug-2020 08:55:00
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Content: Deep Bidirectional Long Short Term Memory D BLSTM with ConnectionistTemporal Classification CTC output layer has been established as one of thestate of the art solutions for handwriting recognition. It is well known thatthe DBLSTM trained by using CTC objective function will learn both localchar...

Keywords: classification, tpu, coding, gpu
Deep Learning on Image Denoising: An overview. (arXiv:1912.13171v4 [eess.IV] UPDATED)
http://arxiv.org/ | 04-Aug-2020 09:07:00
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Content: Deep learning techniques have received much attention in the area of imagedenoising. However, there are substantial differences in the various types ofdeep learning methods dealing with image denoising. Specifically,discriminative learning based on deep learning can ably address the issue ofGaussian...

Keywords: analysis, neural network, quant, deep
TFLearn TypeError Only Size 1 Arrays Can Be Converted to Python Scalars and ValueError Setting An Array With a Sequence Occu...
https://stackoverflow.com/ | 03-Aug-2020 17:24:57
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Content: While trying to create neural network that will classify images of males and females, there were two errors that occurred in my traceback. One was TypeError only size 1 arrays can be converted to Python scalars and the other one was ValueError setting an array element with sequence. Can anybody pl...

Keywords: network, python, metric, neural network
MobiusTrend Research AI Deep Learning and Hologram AR Applications
https://aithority.com/ | 03-Aug-2020 10:34:33
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Content: Facebook, Google and WIMI focus on AI deep learning AR technologies, which will facilitate the interactive display and extend AR application scenarios MobiusTrend, market research company in Hong Kong, recently released research report on 8216 AI Deep Learning and Hologram AR Applications 8217 ....

Keywords: artificial intelligence, ai , security
How I Created My Own Data For Object Detection and Segmentation
https://analyticsindiamag.com/ | 05-Aug-2020 05:30:00
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Content: In simple terms, computer vision enables our computer to process and visualize the data. It is very complicated task to make the computer learn from the image data. From the day we are born, we are training our brain continuously with examples, so after certain point of time we are able to recognize...

Keywords: object detection, json, classification, analytic
When and How to Use Regularization in Deep Learning | by Vanshika Bansal | Aug, 2020 | Medium
https://medium.com/ | 03-Aug-2020 16:52:36
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Content: The key role of Regularization in deep learning models is to reduce overfitting of data. It makes the network simple resulting in generalization on data points never encountered before. This helps in reducing the testing error when the model performs well only on the training set. , Before learning...

Keywords: neural network, metric, tpu, test, statistic
R GUI Update: BlueSky Users Guide, New Features
http://feedproxy.google.com/ | 03-Aug-2020 22:33:15
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Content: The BlueSky Statistics graphical user interface GUI for the language has added quite few new features described below . Im also working on BlueSky Users Guide, draft of which you can read about and download here. Although Continue reading...

Keywords: tutorial, api , quant, node
Introduction to Dropout to regularize Deep Neural Network | by Saurav Singla | Analytics Vidhya | Aug, 2020 | Medium
https://medium.com/ | 03-Aug-2020 16:52:36
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Content: Dropout means to drop out units which are covered up and noticeable in neural network. Dropout is staggeringly in vogue method to overcome overfitting in neural networks. , Deep Learning framework is now getting further and more profound. With these bigger networks, we can accomplish better predict...

Keywords: deep learning, framework, network, neural network
3D B-mode ultrasound speckle reduction using deep learning for 3D registration applications. (arXiv:2008.01147v1 [eess.IV])
http://arxiv.org/ | 05-Aug-2020 08:55:00
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Content: Ultrasound US speckles are granular patterns which can impede imagepost processing tasks, such as image segmentation and registration.Conventional filtering approaches are commonly used to remove US speckles,while their main drawback is long run time in 3D scenario. Although fewstudies were conduc...

Keywords: deep learning framework, deep learning
Handwritten Character Digit Classification using Neural Network
https://analyticsindiamag.com/ | 03-Aug-2020 09:30:00
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Content: Handwritten Character Digit Classification using Neural Network EMNIST Handwritten alphabet digit recognition using deep learningThe post Handwritten Character Digit Classification using Neural Network appeared first on Analytics India Magazine....

Keywords: test, database, analytic, network, classification
Forecasting Energy Consumption using Neural Networks & XGBoost
https://becominghuman.ai/ | 04-Aug-2020 14:34:10
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Content: First Prize Forecasting Energy Demand Neural Networks, XGBoostWritten by Chua Chiah Soon, Li Zhaochen, Lin Min Htoo, Quah Jia Yong, all NTU students from Singapore.This project is submission for the Datathon jointly organised by Nanyang Technological University Singapore amp ai4impact. We are g...

Keywords: machine learning, visual, data science
Applying self pre-training method to GNN for quantum chemistry | by Akira Sosa | Vitalify Asia | Aug, 2020 | Medium
https://medium.com/ | 03-Aug-2020 16:52:36
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Content: Self pre training becomes to be commonly used method in machine learning, especially in NLP Natural Language Processing . The most famous ones are MLM Masked Language Modeling and NSP Next Sentence Prediction , which are introduced with BERT. , Some recent researches actively try to apply this ...

Keywords: node, neural network, kaggle, quant, test
How to return multiple data sets from an external stored procedure
https://stackoverflow.com/ | 03-Aug-2020 19:42:12
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Content: am using Access Client Solutions to test an SQL stored procedure on the IBM i. The stored procedure has two calls to other EXTERNAL stored procedures that call RPGSQLE programs that each return data set to the CLIENT of the selected data. If use SQL to return the data, can get two data sets returned...

Keywords: sql, test
A Beginners Guide to Skorch With Code To Implement Neural Network
https://analyticsindiamag.com/ | 03-Aug-2020 12:30:00
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Content: Skorch is one of the useful libraries in Pytorch to work on machine learning models especially neural networks. It is robust library that works in the combination of PyTorch and Scikit learn. Previously we used the scikit learn library but its applications are only limited to classical machine learn...

Keywords: scikit, classification, neural network, analytic
Which is the best NLP library?. A real-time evaluation of common NLP | by Rahul Bhattacharya | Aug, 2020 | Medium
https://medium.com/ | 03-Aug-2020 16:52:36
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Content: Ever since started working on NLP Natural Language Processing , have been wondering which one is the best NLP library that can meet most of our common NLP requirements. Although it is true that there is no one size fits all, and the choice of library would depend on the task at hand, was still curio...

Keywords: neural network, supervised learning, metric, tensorflow, course
Reading: PRN Progressive Rethinking Network (HEVC Filtering) | by Sik-Ho Tsang | Aug, 2020 | Medium
https://medium.com/ | 03-Aug-2020 16:52:36
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Content: In this story, Partition Tree Guided Progressive Rethinking Network for in Loop Filtering of HEVC PRN , by Peking University, is presented. read this because work on video coding research. In this paper , This is paper in 2019 ICIP. Sik Ho Tsang Medium , This is the 6th story in this month. , ...

Keywords: coding, network
Googles New TF-Coder Tool Claims To Achieve Superhuman Performance
https://analyticsindiamag.com/ | 04-Aug-2020 07:30:00
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Content: In recent years, techniques like deep learning have made several breakthroughs in domains like audio processing, computer vision, robotics and more. Popular deep learning frameworks like Tensorflow, Keras, among others, have immensely eased the development as well as training of complex neural netwo...

Keywords: computer vision, ml , analytic
Orpheus: A New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference. (arXiv:2007.13648v2 [cs.DC] UPD...
http://arxiv.org/ | 05-Aug-2020 08:55:00
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Content: Optimising deep learning inference across edge devices and optimisationtargets such as inference time, memory footprint and power consumption is keychallenge due to the ubiquity of neural networks. Today, production deeplearning frameworks provide useful abstractions to aid machine learningengineers...

Keywords: deep learning framework, machine learning
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition. (arXiv:2008.001...
http://arxiv.org/ | 04-Aug-2020 09:07:00
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Content: Action recognition via 3D skeleton data is an emerging important topic inthese years. Most existing methods either extract hand crafted descriptors orlearn action representations by supervised learning paradigms that requiremassive labeled data. In this paper, we for the first time propose acontrast...

Keywords: coding, supervised learning
Training a neural network for Q learning
https://stackoverflow.com/ | 03-Aug-2020 11:05:13
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Content: am starting to learn about learning with neural network to predict values and in order to better understand how it works am trying to create this from scratch. Sorry for incorrect notation, was unable to work out how to do this correctly If have possible actions from any state s, the output for the ...

Keywords: neural network, network, tpu, test
Can anyone suggest resources on the basics of audio processing? [P]
https://www.reddit.com/ | 04-Aug-2020 03:10:02
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Content: would like to work on personal project on audio processing, involving deep learning. would like to use one singers voice to sing song of another artist. have rudimentary background on deep learning involving audio but would like to learn more. submitted by href...

Keywords: object detection, deep learning
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
https://research.google/ | 03-Aug-2020 13:25:00
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Content: Performing controlled experiments on noisy data is essential in understanding deep learning across noise levels. Due to the lack of suitable datasets, previous research has only examined deep learning on controlled synthetic label noise, and real world label noise has never been studied in controlle...

Keywords: deep learning
Neural Network & Deep Learning () | by Steven Lu | Aug, 2020 | Medium
https://medium.com/ | 03-Aug-2020 16:52:36
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Content: Python with Data Science Machine Learning with Python Neural Network Deep Learning hosted by Andrew Ng , , , Introduction to Deep Learning , , , Neural Network ...

Keywords: neural network, data science, classification, python, andrew ng
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review. (arXiv:2007.10760v3 [cs.CR] UPDATED)
http://arxiv.org/ | 04-Aug-2020 09:07:00
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Content: This work provides the community with timely comprehensive review ofbackdoor attacks and countermeasures on deep learning. According to theattacker s capability and affected stage of the machine learning pipeline, theattack surfaces are recognized to be wide and then formalized into sixcategorizatio...

Keywords: security, machine learning, deep learning
Google BigBird Achieves SOTA Performance on Long-Context NLP Tasks
https://syncedreview.com/ | 03-Aug-2020 18:34:59
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Content: German banking giant Deutsche Bank has agreed multi year partnership with Google Cloud for the provision and joint development of cloud services....

Keywords: nlp, summarization, network, ai
Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data. (arXiv:2008.01362v1 [eess.IV])
http://arxiv.org/ | 05-Aug-2020 08:55:00
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Content: Time of flight magnetic resonance angiography TOF MRA is one of the mostwidely used non contrast MR imaging methods to visualize blood vessels, but dueto the 3 D volume acquisition highly accelerated acquisition is necessary.Accordingly, high quality reconstruction from undersampled TOF MRA is ani...

Keywords: visual, network, design, deep learning
State-of-the-art Techniques in Deep Edge Intelligence. (arXiv:2008.00824v2 [cs.AI] UPDATED)
http://arxiv.org/ | 05-Aug-2020 08:55:00
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Content: The potential held by the gargantuan volumes of data being generated acrossnetworks worldwide has been truly unlocked by machine learning techniques andmore recently Deep Learning. The advantages offered by the latter have seen itrapidly becoming framework of choice for various applications. However...

Keywords: edge computing, machine learning, computing
HAMLET: A Hierarchical Multimodal Attention-based Human Activity Recognition Algorithm. (arXiv:2008.01148v1 [cs.RO])
http://arxiv.org/ | 05-Aug-2020 08:55:00
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Content: To fluently collaborate with people, robots need the ability to recognizehuman activities accurately. Although modern robots are equipped with varioussensors, robust human activity recognition HAR still remains challengingtask for robots due to difficulties related to multimodal data fusion. Toadd...

Keywords: collaborate, visual, algorithms, network, metric
PSF GSoC students blogs: Phase 3 - Weekly Check-in 10
https://blogs.python-gsoc.org/ | 03-Aug-2020 18:27:45
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Content: End of Week 03 08 2020What did you do this week This week, planned on how DFFML will be able to provide way that will make it very easy to work with Deep Neural Networks. will be having further discussions with the mentors regarding how we can add support for connecting neural networks and make adva...

Keywords: computer vision, network, neural network
Boundary Content Graph Neural Network for Temporal Action Proposal Generation. (arXiv:2008.01432v1 [cs.CV])
http://arxiv.org/ | 05-Aug-2020 08:55:00
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Content: Temporal action proposal generation plays an important role in video actionunderstanding, which requires localizing high quality action content precisely.However, generating temporal proposals with both precise boundaries andhigh quality action content is extremely challenging. To address this issue...

Keywords: node, neural network, graph neural
Blackbox Trojanising of Deep Learning Models : Using non-intrusive network structure and binary alterations. (arXiv:2008.004...
http://arxiv.org/ | 04-Aug-2020 09:07:00
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Content: Recent advancements in Artificial Intelligence namely in Deep Learning hasheightened its adoption in many applications. Some are playing important rolesto the extent that we are heavily dependent on them for our livelihood.However, as with all technologies, there are vulnerabilities that maliciousac...

Keywords: classification, network, deep learning, artificial
[Discussion] How to decide how many convolutional layers, kernels, neurons in a CNN model?
https://www.reddit.com/ | 04-Aug-2020 05:51:28
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Content: Hi have recently found myself having an interest in image recognition using CNN. Currently, I 39 m trying to recognize different pokemons using CNN. Can anyone suggest how to decide how many layers, kernels, and neurons are needed in order to have very good predictive accuracy Thanks very much s...

Keywords: nan
Contrastive Explanations in Neural Networks. (arXiv:2008.00178v1 [cs.CV])
http://arxiv.org/ | 04-Aug-2020 09:07:00
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Content: Visual explanations are logical arguments based on visual features thatjustify the predictions made by neural networks. Current modes of visualexplanations answer questions of the form Why text P . These Why questions operate under broad contexts thereby providing answers that areirrelevant i...

Keywords: network, analysis, neural network, visual
A Text Classification Survey: From Shallow to Deep Learning. (arXiv:2008.00364v1 [cs.CL])
http://arxiv.org/ | 04-Aug-2020 09:07:00
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Content: Text classification is the most fundamental and essential task in naturallanguage processing. The last decade has seen surge of research in this areadue to the unprecedented success of deep learning. Numerous methods, datasets,and evaluation metrics have been proposed in the literature, raising the ...

Keywords: classification, test, machine learning, deep
Deep Learning Crash Course for Beginners
http://school.geekwall.in/ | 03-Aug-2020 17:13:54
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Content: Learn the fundamental concepts and terminology of Deep Learning, sub branch of Machine Learning. This course is designed for absolute beginners with no experience in programming. You will learn the key ideas behind deep learning without any code....

Keywords: design, course, machine learning, deep
Ubicomp Digital 2020 -- Handwriting classification using a convolutional recurrent network. (arXiv:2008.01078v1 [cs.LG])
http://arxiv.org/ | 05-Aug-2020 08:55:00
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Content: The Ubicomp Digital 2020 Time Series Classification Challenge from STABILOis challenge about multi variate time series classification. The datacollected from 100 volunteer writers, and contains 15 features measured withmultiple sensors on pen. In this paper,we use neural network to classifythe data ...

Keywords: classification, test, neural network, network
Isotropy Maximization Loss and Entropic Score: Accurate, Fast, Efficient, Scalable, and Turnkey Neural Networks Out-of-Distr...
http://arxiv.org/ | 04-Aug-2020 09:07:00
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Content: Current out of distribution OOD detection approaches require cumbersomeprocedures that add undesired side effects to the solution. In this paper, weargue that the low OOD detection performance of neural networks is due tocross entropy SoftMax loss anisotropy and extreme propensity to produce lowen...

Keywords: scala, neural network, regression, network
How to check if the API call is failing using Fetch in JavaScript
https://www.amitmerchant.com/ | 04-Aug-2020 00:00:00
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Content: The as we all know is the modern replacement to the good old So, for instance, if want to make GET call to this API fetch class dl .then response gt console.log suucess .catch error gt console.log AP failure error Now, as you can see here, the Fetch API will call the prov...

Keywords: api , dl
EasierPath: An Open-source Tool for Human-in-the-loop Deep Learning of Renal Pathology
https://paperswithcode.com/ | 04-Aug-2020 11:17:00
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Content: Inspired by the recent human in the loop strategy, we developed EasierPath, an open source tool to integrate human physicians and deep learning algorithms for efficient large scale pathological image quantification as loop. Code href...

Keywords: quant, deep learning, algorithms
Deep Video Portraits
https://heartbeat.fritz.ai/ | 04-Aug-2020 13:52:07
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Content: Photo realistic re animation of portrait videos using only an input videoSynthesizing and editing video portraitsi.e., videos framed to show persons head and upper bodyis an important problem in computer graphics, with applications in video editing and movie postproduction, visual effects, visual...

Keywords: analysis, visual, deepfake, virtual reality
HyperFaceNet: A Hyperspectral Face Recognition Method Based on Deep Fusion. (arXiv:2008.00498v1 [cs.CV])
http://arxiv.org/ | 04-Aug-2020 09:07:00
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Content: Face recognition has already been well studied under the visible light andthe infrared,in both intra spectral and cross spectral cases. However, how tofuse different light bands, i.e., hyperspectral face recognition, is still anopen research problem, which has the advantages of richer information re...

Keywords: deep learning
A Multi-Task Learning Neural Network for Emotion-Cause Pair Extraction
https://paperswithcode.com/ | 04-Aug-2020 11:17:00
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Content: In this paper, we propose multi task neural network to perform emotion cause pair extraction in unified model. Code href...

Keywords: neural network, mobile, network
Title
Deep Reinforcement Learning: Artificial Intelligence, Machine Learning and Deep Learning Introduction, Overview and Contras...
https://medium.com/ | 04-Aug-2020 17:23:03   

Keywords: visual, artificial intelligence, neural network, game, network   

Deep Learning: Relationship between Artificial Intelligence, Machine Learning & Deep Learning | by Vishnu Vijayan PV | Aug, ...
https://medium.com/ | 04-Aug-2020 17:23:03   

Keywords: ai , artificial intelligence, tpu, neural network, machine learning   

Work on Artificial Intelligence Projects
https://becominghuman.ai/ | 04-Aug-2020 14:33:44   

Keywords: tensorflow, classification, machine learning, data   

Multi-GPU and distributed training using Horovod in Amazon SageMaker Pipe mode
https://aws.amazon.com/ | 04-Aug-2020 21:48:21   

Keywords: deep learning framework, tensorflow, gpu   

ValueError: Input 0 of layer dense is incompatible with the layer: while adopting Keras seq 2 seq model?
https://stackoverflow.com/ | 04-Aug-2020 21:50:19   

Keywords: tensorflow, metric, tpu, python, framework   

Named Entity Recognition (NER)
https://thecleverprogrammer.com/ | 04-Aug-2020 16:16:09   

Keywords: tensorflow, nlp, machine learning, analytic   

Impact on Jobs across Emerging Technologies During the Current Pandemic Crisis | By AIM & Jigsaw Academy
https://analyticsindiamag.com/ | 04-Aug-2020 09:34:26   

Keywords: aws, internet of things, startup   

Deep Learning Techniques for Future Intelligent Cross-Media Retrieval. (arXiv:2008.01191v1 [cs.IR])
http://arxiv.org/ | 05-Aug-2020 08:55:00   

Keywords: dl , network, big data   

A Study on Effects of Implicit and Explicit Language Model Information for DBLSTM-CTC Based Handwriting Recognition. (arXiv:...
http://arxiv.org/ | 05-Aug-2020 08:55:00   

Keywords: classification, tpu, coding, gpu   

Deep Learning on Image Denoising: An overview. (arXiv:1912.13171v4 [eess.IV] UPDATED)
http://arxiv.org/ | 04-Aug-2020 09:07:00   

Keywords: analysis, neural network, quant, deep   

TFLearn TypeError Only Size 1 Arrays Can Be Converted to Python Scalars and ValueError Setting An Array With a Sequence Occu...
https://stackoverflow.com/ | 03-Aug-2020 17:24:57   

Keywords: network, python, metric, neural network   

MobiusTrend Research AI Deep Learning and Hologram AR Applications
https://aithority.com/ | 03-Aug-2020 10:34:33   

Keywords: artificial intelligence, ai , security   

How I Created My Own Data For Object Detection and Segmentation
https://analyticsindiamag.com/ | 05-Aug-2020 05:30:00   

Keywords: object detection, json, classification, analytic   

When and How to Use Regularization in Deep Learning | by Vanshika Bansal | Aug, 2020 | Medium
https://medium.com/ | 03-Aug-2020 16:52:36   

Keywords: neural network, metric, tpu, test, statistic   

R GUI Update: BlueSky Users Guide, New Features
http://feedproxy.google.com/ | 03-Aug-2020 22:33:15   

Keywords: tutorial, api , quant, node   

Introduction to Dropout to regularize Deep Neural Network | by Saurav Singla | Analytics Vidhya | Aug, 2020 | Medium
https://medium.com/ | 03-Aug-2020 16:52:36   

Keywords: deep learning, framework, network, neural network   

3D B-mode ultrasound speckle reduction using deep learning for 3D registration applications. (arXiv:2008.01147v1 [eess.IV])
http://arxiv.org/ | 05-Aug-2020 08:55:00   

Keywords: deep learning framework, deep learning   

Handwritten Character Digit Classification using Neural Network
https://analyticsindiamag.com/ | 03-Aug-2020 09:30:00   

Keywords: test, database, analytic, network, classification   

Forecasting Energy Consumption using Neural Networks & XGBoost
https://becominghuman.ai/ | 04-Aug-2020 14:34:10   

Keywords: machine learning, visual, data science   

Applying self pre-training method to GNN for quantum chemistry | by Akira Sosa | Vitalify Asia | Aug, 2020 | Medium
https://medium.com/ | 03-Aug-2020 16:52:36   

Keywords: node, neural network, kaggle, quant, test   

How to return multiple data sets from an external stored procedure
https://stackoverflow.com/ | 03-Aug-2020 19:42:12   

Keywords: sql, test   

A Beginners Guide to Skorch With Code To Implement Neural Network
https://analyticsindiamag.com/ | 03-Aug-2020 12:30:00   

Keywords: scikit, classification, neural network, analytic   

Which is the best NLP library?. A real-time evaluation of common NLP | by Rahul Bhattacharya | Aug, 2020 | Medium
https://medium.com/ | 03-Aug-2020 16:52:36   

Keywords: neural network, supervised learning, metric, tensorflow, course   

Reading: PRN Progressive Rethinking Network (HEVC Filtering) | by Sik-Ho Tsang | Aug, 2020 | Medium
https://medium.com/ | 03-Aug-2020 16:52:36   

Keywords: coding, network   

Googles New TF-Coder Tool Claims To Achieve Superhuman Performance
https://analyticsindiamag.com/ | 04-Aug-2020 07:30:00   

Keywords: computer vision, ml , analytic   

Orpheus: A New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference. (arXiv:2007.13648v2 [cs.DC] UPD...
http://arxiv.org/ | 05-Aug-2020 08:55:00   

Keywords: deep learning framework, machine learning   

Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition. (arXiv:2008.001...
http://arxiv.org/ | 04-Aug-2020 09:07:00   

Keywords: coding, supervised learning   

Training a neural network for Q learning
https://stackoverflow.com/ | 03-Aug-2020 11:05:13   

Keywords: neural network, network, tpu, test   

Can anyone suggest resources on the basics of audio processing? [P]
https://www.reddit.com/ | 04-Aug-2020 03:10:02   

Keywords: object detection, deep learning   

Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
https://research.google/ | 03-Aug-2020 13:25:00   

Keywords: deep learning   

Neural Network & Deep Learning () | by Steven Lu | Aug, 2020 | Medium
https://medium.com/ | 03-Aug-2020 16:52:36   

Keywords: neural network, data science, classification, python, andrew ng   

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review. (arXiv:2007.10760v3 [cs.CR] UPDATED)
http://arxiv.org/ | 04-Aug-2020 09:07:00   

Keywords: security, machine learning, deep learning   

Google BigBird Achieves SOTA Performance on Long-Context NLP Tasks
https://syncedreview.com/ | 03-Aug-2020 18:34:59   

Keywords: nlp, summarization, network, ai   

Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data. (arXiv:2008.01362v1 [eess.IV])
http://arxiv.org/ | 05-Aug-2020 08:55:00   

Keywords: visual, network, design, deep learning   

State-of-the-art Techniques in Deep Edge Intelligence. (arXiv:2008.00824v2 [cs.AI] UPDATED)
http://arxiv.org/ | 05-Aug-2020 08:55:00   

Keywords: edge computing, machine learning, computing   

HAMLET: A Hierarchical Multimodal Attention-based Human Activity Recognition Algorithm. (arXiv:2008.01148v1 [cs.RO])
http://arxiv.org/ | 05-Aug-2020 08:55:00   

Keywords: collaborate, visual, algorithms, network, metric   

PSF GSoC students blogs: Phase 3 - Weekly Check-in 10
https://blogs.python-gsoc.org/ | 03-Aug-2020 18:27:45   

Keywords: computer vision, network, neural network   

Boundary Content Graph Neural Network for Temporal Action Proposal Generation. (arXiv:2008.01432v1 [cs.CV])
http://arxiv.org/ | 05-Aug-2020 08:55:00   

Keywords: node, neural network, graph neural   

Blackbox Trojanising of Deep Learning Models : Using non-intrusive network structure and binary alterations. (arXiv:2008.004...
http://arxiv.org/ | 04-Aug-2020 09:07:00   

Keywords: classification, network, deep learning, artificial   

[Discussion] How to decide how many convolutional layers, kernels, neurons in a CNN model?
https://www.reddit.com/ | 04-Aug-2020 05:51:28   

Keywords: nan   

Contrastive Explanations in Neural Networks. (arXiv:2008.00178v1 [cs.CV])
http://arxiv.org/ | 04-Aug-2020 09:07:00   

Keywords: network, analysis, neural network, visual   

A Text Classification Survey: From Shallow to Deep Learning. (arXiv:2008.00364v1 [cs.CL])
http://arxiv.org/ | 04-Aug-2020 09:07:00   

Keywords: classification, test, machine learning, deep   

Deep Learning Crash Course for Beginners
http://school.geekwall.in/ | 03-Aug-2020 17:13:54   

Keywords: design, course, machine learning, deep   

Ubicomp Digital 2020 -- Handwriting classification using a convolutional recurrent network. (arXiv:2008.01078v1 [cs.LG])
http://arxiv.org/ | 05-Aug-2020 08:55:00   

Keywords: classification, test, neural network, network   

Isotropy Maximization Loss and Entropic Score: Accurate, Fast, Efficient, Scalable, and Turnkey Neural Networks Out-of-Distr...
http://arxiv.org/ | 04-Aug-2020 09:07:00   

Keywords: scala, neural network, regression, network   

How to check if the API call is failing using Fetch in JavaScript
https://www.amitmerchant.com/ | 04-Aug-2020 00:00:00   

Keywords: api , dl   

EasierPath: An Open-source Tool for Human-in-the-loop Deep Learning of Renal Pathology
https://paperswithcode.com/ | 04-Aug-2020 11:17:00   

Keywords: quant, deep learning, algorithms   

Deep Video Portraits
https://heartbeat.fritz.ai/ | 04-Aug-2020 13:52:07   

Keywords: analysis, visual, deepfake, virtual reality   

HyperFaceNet: A Hyperspectral Face Recognition Method Based on Deep Fusion. (arXiv:2008.00498v1 [cs.CV])
http://arxiv.org/ | 04-Aug-2020 09:07:00   

Keywords: deep learning   

A Multi-Task Learning Neural Network for Emotion-Cause Pair Extraction
https://paperswithcode.com/ | 04-Aug-2020 11:17:00   

Keywords: neural network, mobile, network   






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