Deep Learning



Best matching news and articles for Deep Learning


Title Summary/Keywords
Top 10 PyTorch Cheat Sheets
https://blog.finxter.com/ | Yesterday
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Content: Hey Finxters have another top 10 cheat sheets for you to consider and tape to your wall. In this article, will be presenting the best Pytorch cheat sheets available. Keep them handy when you are working on project and would like to spend less time searching for the correct function you are 8230 Top 10 PyTorch Cheat Sheets Read More 187 The post first appeared on href...

Keywords: neural network, kaggle, tensorflow, oop
AI, ML & Deep Learning discussion on human rights
https://medium.com/ | Yesterday
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Content: Interview with had the pleasure of giving virtual talk today on the impact of AI, ML and deep learning models and how theyre impacting our society. The video will appear in few weeks and this is transcript of the discussion today.What is AI, Machine Learning amp Deep Learning Rule based algorithms have been around since the 50s and when we talk about AI today, what were talking about is mostly deployments of machine learning and deep learning models. When we use the term artificial...

Keywords: turing, alexa, ios, empathy, design
Leveling the Playing Field: HorovodRunner for Distributed Deep Learning Training
https://databricks.com/ | Yesterday
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Content: This is guest post authored by Sr. Staff Data Scientist User Experience Researcher Jing Pan and Senior Data Scientist Wendao Liu of leading health insurance marketplace eHealth. None generates Taichi Taichi generates two complementary forces Two complementary forces generate four aggregates Four aggregates generate eight trigrams Eight trigrams determine myriads of phenomena. Classic of Changes...The post appeared first on rel nofollow href...

Keywords: classification, network, cpu, framework, tpu
Car Image Recognition with Convolutional Neural Network Applications
https://medium.com/ | Yesterday
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Content: Team Members AbstractImage recognition is an exciting new field and has many important applications ranging from delivery service, payment processing, and public safety. We wanted to take image recognition and apply it to cars. Have you ever wondered what the car model is when you received an Amber Alert What kind of car is the suspect driving We believe by applying cameras with high speed image recognition capability at key highway intersections, we are able to match the car to the...

Keywords: classification, transfer learning, foundation, network
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise
https://arxiv.org | Yesterday
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Content: We consider a one-hidden-layer leaky ReLU network of arbitrary width trained by stochastic gradient descent following an arbitrary initialization. We prove that stochastic gradient descent (SGD) produces neural networks that have classification accuracy competitive with that of the best halfspace over the distribution for a broad class of distributions that includes log-concave isotropic and hard margin distributions. Equivalently, such networks can generalize when the data distribution is linea...

Keywords: neural network, classification, network
Support Vector Machines vs Multiplicative Neuron Model Neural Network in Prediction of Bank Failures
http://article.sapub.org/ | Today
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Content: Publication year 2017Source American Journal of Intelligent Systems, Volume 7, Number 5Birsen Eygi Erdoan, Erol Eriolu, Esra AkdenizSupport Vector Machines have been developed as an alternative for classification problems to the classical learning algorithms, such as Artificial Neural Network. Thanks to advantages of using kernel trick, having global optimum and simple geometric interpretation support vector machines are known as the best classifiers among others. Classical learning...

Keywords: neural network, ios, classification, algorithms
Save Machine Learning And Deep Learning Models
https://medium.com/ | Yesterday
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Content: Saving Machine Learning And Deep Learning ModelsSave and Load SK Learn and Keras ML DL ModelsSaving machine learning ML and deep learning DL models is an inevitable step in building ML DL model to save the state of an object whether for making predictions or reuse it for other purposes when needed.Serialization saving is the process of translating data structure or object into format that can be transmitted stored in database or file while de serializing loading is the reverse pr...

Keywords: json, ml , deep learning
OpenAI Introduces DALLE: A Neural Network That Creates Images From Text Descriptions
https://www.marktechpost.com/ | Today
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Content: OpenAI has recently trained neural network called DALLE that creates images from text descriptions for various concepts expressible in natural language. 160 It is possible to teach an extensive neural network to perform various text generation tasks using the GPT 3 model. Using Image GPT 3, the same neural network can be used to generate images with 8230 The post appeared first on rel nofollow href...

Keywords: neural network, gpt, text generation
Deep Learning Based OCR for Text in the Wild
https://nanonets.com/ | Yesterday
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Content: Learn how to apply deep learning based OCR to recognize and extract unstructured text information from images using Tesseract and the OpenCV EAST engine....

Keywords: neural network, deep learning, nlp
Petastorm: A Simple Approach to Deep Learning Models in Apache Parquet Format
https://dzone.com/ | Yesterday
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Content: Petastorm, an open source data access library, enables single node or distributed training as well as evaluation of deep learning models precisely from datasets in Apache Parquet format and datasets that are already loaded as Apache Spark DataFrames. As including Tensorflow, PyTorch, and PySpark. For more information about Petastorm, refer to the Petastorm Petastorm enables either single machine or distributed training, as well as support for multiple Python based ML frameworks such as NumPy,...

Keywords: api , spark, deep learning
Finite versus Infinite Neural Networks:an Empirical Study
https://research.google/ | Yesterday
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Content: We perform careful, thorough, and large scale empirical study of the correspondence between wide neural networks and kernel methods. By doing so, we resolve variety of open questions related to the study of infinitely wide neural networks. Our experimental results include kernel methods outperform fully connected finite width networks, but underperform convolutional finite width networks ......

Keywords: network, neural network
Deep learning sharpens near-infrared images for cancer diagnostics
https://physicsworld.com/ | Yesterday
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Content: Left mouse hindlimb image recorded in NIR IIa, with an organic fluorophore in circulation in the mouse. Centre high resolution NIR IIa image generated by the neural network. Right ground truth image recorded in NIR IIb using quantum dot fluorophore. Courtesy Zhuoran Ma and Hongjie Dai Fluorescence imaging is valuable method for examining biological systems. To achieve the maximum tissue penetration depth and minimum light scattering, detecting near infrared NIR fluorescence in the lon...

Keywords: metric, artificial intelligence, deep learning
What is Deep Learning?
https://medium.com/ | Yesterday
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Content: Diving into x201C what is deep learning x201D while providing an exciting and straightforward introduction to deep learning, how it works, and some x2026...

Keywords: deep learning
How to Organize Deep Learning Projects Examples of Best Practices
https://neptune.ai/ | Yesterday
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Content: For successful deep learning project, you need lot of iterations, lot of time, and lot of effort. To...The post appeared first on href...

Keywords: deep learning, ai
Large Data Analysis via Interpolation of Functions: Interpolating Polynomials vs Artificial Neural Networks
http://article.sapub.org/ | Today
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Content: Publication year 2018Source American Journal of Intelligent Systems, Volume 8, Number 1Rohit RaturiIn this article we study function interpolation problem from interpolating polynomials and artificial neural networks point of view. Function interpolation plays very important role in many areas of experimental and theoretical sciences. Usual means of function interpolation are interpolation polynomials Lagrange, Newton, splines, Bezier, etc. . Here we show that specific strategy of functi...

Keywords: data analysis, network, neural network
FDA clears deep learning application to support image interpretation with Hyperfine's Swoop Portable MR I...
https://www.dotmed.com/ | Today
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Content: FDA clears deep learning application to support image interpretation with Hyperfine s Swoop Portable MR Imaging SystemDOTmed HealthCare Business News...

Keywords: deep learning
Deep learning outperforms standard machine learning in biomedical research applications - Science Daily
https://www.sciencedaily.com/ | Yesterday
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Content: Deep learning outperforms standard machine learning in biomedical research applicationsScience Daily...

Keywords: machine learning, deep learning
Convolutional Neural NetworksBasics to Implementation
https://medium.com/ | Yesterday
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Content: Learn about Convolutional Neural Networks and how to implement them using TensorFlow and Keras.Continue reading on geeythree...

Keywords: tensorflow, neural network, network
Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data
https://research.google/ | Yesterday
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Content: Identifying regions that have high likelihood for wildfires is key component of land and forestry management and disaster preparedness. We create data set by aggregating nearly decade of remote sensing data and historical fire records to predict wildfires. This prediction problem is framed as three machine learning tasks. Results are compared and analyzed for four different deep learning......

Keywords: machine learning, deep learning
Deep learning outperforms standard machine learning in biomedical research applications - EurekAlert
https://www.eurekalert.org/ | Yesterday
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Content: Deep learning outperforms standard machine learning in biomedical research applicationsEurekAlert...

Keywords: machine learning, deep learning
Feed Forward and Back Propagation in a Neural Network
https://medium.com/ | Yesterday
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Content: In this write up technical explanation and functioning of fully connected neural network which involves bi direction flow, first a x2026...

Keywords: neural network, network
ReviewMsFEN+MsBEN: Defocus Blur Detection by Fusing Multiscale Deep Features With Conv-LSTM
https://medium.com/ | Today
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Content: Using VGGNet Conv LSTM, Outperforms BTBCRL, DeFusionNet amp DHDEContinue reading on Medium...

Keywords: nan
Deep learning-enabled medical computer vision
https://research.google/ | Yesterday
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Content: decade of unprecedented progress in artificial intelligence AI has demonstrated the potential for many fieldsincluding medicineto benefit from the insights that AI techniques can extract from data. Here we survey recent progress in the development of modern computer vision techniquespowered by deep learningfor medical applications, focusing on medical imaging, medical video, and......

Keywords: ai , computer vision, deep
Image-based deep learning haplotype-guided study maps the global adaptation of SARS-CoV-2 - News-Medical.Net
https://www.news-medical.net/ | Yesterday
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Content: Image based deep learning haplotype guided study maps the global adaptation of SARS CoV 2News Medical.Net...

Keywords: deep learning
Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps
https://paperswithcode.com/ | Yesterday
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Content: Deep learning has shown its power in many applications, including object detection in images, natural language understanding, and speech recognition. Code href...

Keywords: object detection, android, deep learning
Researchers Introduce A Deep Learning Framework For Drug Repurposing
https://www.marktechpost.com/ | Yesterday
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Content: What is Drug repurposing Drug repurposing involves investigating existing drugs for new therapeutic purposes. It is useful approach to distinguish new uses for existing drugs, providing quicker transition from bench to bedside. For example, earlier Botox injections were accepted to treat crossed eyes. However, they are now used to treat migraines and are 8230 The post appeared first on rel nofollow href...

Keywords: deep learning framework, deep learning
Deep Learning or Machine Learning:That is the Question
https://medium.com/ | Yesterday
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Content: This is follow up to my previous article Comparison of Regression Analysis Algorithms. applied Deep Learning and compared the results x2026...

Keywords: analysis, deep learning, regression, algorithms
Researchers use deep learning to study the effect of mental illness and other disorders on the brain - Ne...
https://www.news-medical.net/ | Yesterday
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Content: Researchers use deep learning to study the effect of mental illness and other disorders on the brainNews Medical.Net...

Keywords: deep learning
Caltech Open-Sources FNO: A Deep Learning Method For Solving PDEs (Partial differential equations)
https://www.marktechpost.com/ | Yesterday
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Content: Caltech 8217 s Dolcit group recently open sourced FNO, Fourier Neural Operator, deep learning method for Solving the PDEs Partial differential equations . FNO being three times faster than traditional solvers outperforms the existing deep learning techniques for solving PDEs. FNO is used to speed up the calculations and weather predictions. The model and experiments were described in paper published on arXiv. 8230 The post appeared first on rel nofollow href...

Keywords: deep learning
Proposed Neural Network with FFT Transfer Function to Estimate Henon Dynamical Map
http://article.sapub.org/ | Today
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Content: Publication year 2019Source American Journal of Intelligent Systems, Volume 9, Number 1Salah H. Abid, Saad S. Mahmood, Yaseen A. OraibiThe aim of this paper is to design feed forward artificial neural network Ann to estimate two dimensional Henon dynamical map by selecting an appropriate network, transfer function and node weights. The proposed network side by side with using Fast Fourier Transform FFT as transfer function is used. For different cases of the system, chaotic and noisy,...

Keywords: neural network, network, node, design
PyTorch Functions
https://medium.com/ | Yesterday
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Content: short introduction about PyTorch and functions cat, split, hstack, vstack, transpose .Continue reading on Medium...

Keywords: pytorch
A gentle introduction to backpropagation and implementing neural network animation:
https://medium.com/ | Yesterday
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Content: At its core, neural network is an algorithm that was designed to learn patterns in real life data and make predictions. An important x2026...

Keywords: design, neural network, network
EMBEDDED SYSTEM MARKET CARVES A NEW PATH FOR GROWTH EMBEDDED IN IOT AND DEEP LEARNING - FLA News
https://www.flanewsonline.com/ | Yesterday
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Content: EMBEDDED SYSTEM MARKET CARVES NEW PATH FOR GROWTH EMBEDDED IN IOT AND DEEP LEARNINGFLA News...

Keywords: iot, deep learning
Static Hand Gesture Recognition Using Multi-Layer Neural Network Classifier on Hybrid of Features
http://article.sapub.org/ | Today
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Content: Publication year 2020Source American Journal of Intelligent Systems, Volume 10, Number 1Akintola K. G., Emmanuel J. A.Hand gesture recognition has gotten so many areas of application such as in human computer interaction, hearing impaired communication and systems control. Recognizing gestures in videos however is challenging task. Many techniques and features have been adopted in the literature but some of the methods still need to be improved upon. There are basically two types of gestur...

Keywords: neural network, computer vision, database
In Brain Imaging, Deep Learning Beats Standard Machine Learning - HealthITAnalytics.com
https://healthitanalytics.com/ | Yesterday
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Content: In Brain Imaging, Deep Learning Beats Standard Machine Learning HealthITAnalytics.com...

Keywords: machine learning, analytic, deep learning
Graph Clustering with Graph Neural Networks
https://research.google/ | Yesterday
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Content: Graph Neural Networks GNNs have achieved state of the art results on many graph analysis tasks such as node classification and link prediction. However, important unsupervised problems on graphs, such as graph clustering, have proved more resistant to advances in GNNs. In this paper, we study unsupervised training of GNN pooling in terms of their clustering capabilities. We start by drawing a......

Keywords: classification, analysis, network, node, neural
RNN in Python for Beginners
https://medium.com/ | Yesterday
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Content: RNN in Python for Beginners...

Keywords: python
Deep Learning for Cryptocurrency Predictions: An Update
https://medium.com/ | Yesterday
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Content: AutoML, representation learning and other ideas relevant to crypto asset predictions.Continue reading on IntoTheBlock...

Keywords: crypto, automl, deep learning, cryptocurrency
Deep Learning Materials
https://medium.com/ | Yesterday
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Content: Deep Learning Materials...

Keywords: deep learning
Deep Learning for 3D Synthesis
https://towardsdatascience.com/ | Yesterday
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Content: Transformers vs Convolutional Deep Networks for synthesizing 3D DataContinue reading on Towards Data Science...

Keywords: network, deep learning, data science
Neural networks behave as hash encoders: An empirical study
https://paperswithcode.com/ | Today
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Content: We then define an it activation hash phase chart to represent the space expanded by model size , training time, training sample size, and the encoding properties, which is divided into three canonical regions it under expressive regime , it critically expressive regime , and it sufficiently expressive regime . Code href...

Keywords: neural network, network, express, coding
FaceX-Zoo: A PyTorch Toolbox for Face Recognition
https://paperswithcode.com/ | Yesterday
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Content: For example, the production of face representation network desires modular training scheme to consider the proper choice from various candidates of state of the art backbone and training supervision subject to the real world face recognition demand for performance analysis and comparison, the standard and automatic evaluation with bunch of models on multiple benchmarks will be desired tool as well besides, public groundwork is welcomed for deploying the face recognition in the shape of...

Keywords: pytorch, analysis, network
Hardware for Deep Learning. Part 4: ASIC
https://blog.inten.to/ | Yesterday
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Content: This is part about ASICs from the Hardware for Deep Learning series. The content of the series is here. As of beginning 2021, ASICs now is the only real alternative to GPUs for 1 deep learning...

Keywords: aws, deep learning, design
My Deep Learning Journey
https://medium.com/ | Yesterday
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Content: My Deep Learning Journey...

Keywords: kaggle, deep learning
Building an Artificial Neural Network in Tensorflow2.0
https://medium.com/ | Yesterday
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Content: Building an Artificial Neural Network in Tensorflow2.0...

Keywords: network, tensorflow, neural network, analytic
Fine-tuning pre-trained transformer models for sentence entailment
https://towardsdatascience.com/ | Yesterday
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Content: PyTorch and Hugging Face implementation of fine tuning BERT on the MultiNLI datasetImage from . The models will be loaded using the Hugging Face library and are fine tuned using PyTorch.What is entailment To understand entailment, lets start with an example.1. Jim rides bike to school every morning.2. Jim can ride bike.Entailment occurs if proposed premise is true. In this example, if the sentence Jim rides bike to school every morning. is true, then the premise entails that Jim go...

Keywords: classification, bert model, network, supervised
Dont drown in the ML ocean
https://towardsdatascience.com/ | Yesterday
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Content: Photo by on IntroductionPicture yourself setting sail on the ocean, heading out to the deeps and losing sight of land. Selecting an ML model can feel bit like this strange mix of exhilaration and fear. As the multitude of machine learning algorithms unfolds before you and grows by the year its normal to second guess selections and perhaps flounder in endless hyperparameter tuning.Having an accurate map to guide model selection can build your confidence that youre headed in the right...

Keywords: dimensionality reduction, machine learning, regression
How To Pick The Right AI Stock: A Checklist
https://analyticsindiamag.com/ | Today
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Content: When it comes to investing in stocks markets, one must consider wide range of factors. For starters, you should diligently study the books, including key metrics such as dividends, debt to equity ratio, price to equity ratio, earnings growth, etc. Its also essential to put your money in future ready companies. 160 These days, artificial intelligence companies are all the 8230 The post How To Pick The Right AI Stock Checklist appeared first on Analytics India Magazine....

Keywords: neural network, natural language processing
Top 10 Innovations to Watch in January 2021
https://www.analyticsinsight.net/ | Yesterday
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Content: 1037 The December 2020 NPD report reveals ongoing growth for games in the United States Nintendo, Call of Duty, and Cyberpunk were big winners.Read More 3017 Grounded is about to take flight.What you need to knowGrounded is an open world survival game that shrinks players down to the size of insects.The game is in early access and adds new content and improvements all the time.The next update has been teased and is set to enter Public Test as soon as next week.Grounded s January Content Update will likely include flying insects, as well as lots of other additions.The is coming soon, and the probable additions have been teased by Obsidian for ages. The early next week, giving dedicated Grounded players chance to jump in even before sees the new features.it seems that most of you want all three flying insects from yesterday s poll added, so how about we add them and more items AND open up the Public Test Servers again early next week so you can help us test before the official release s...

Keywords: turing, ios, sas , analysis, react
An architecture for production-ready natural speech synthesizer
https://heartbeat.fritz.ai/ | Yesterday
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Content: Build Django Rest API to serve an end to end speech synthesizer and deploy production ready version leveraging docker, Gunicorn and Nginx.Photo by on Deep learning has played an immensely important role in improving already existent speech synthesis approaches by replacing the entire pipeline process with neural networks trained on data alone.Following that perspective, Tacontron2 has been game changer, achieving mean opinion score MOS of 4.53, almost comparable to professionally record...

Keywords: sql, container, machine learning, docker
Title
Top 10 PyTorch Cheat Sheets
https://blog.finxter.com/ | Yesterday   

Keywords: neural network, kaggle, tensorflow, oop   

AI, ML & Deep Learning discussion on human rights
https://medium.com/ | Yesterday   

Keywords: turing, alexa, ios, empathy, design   

Leveling the Playing Field: HorovodRunner for Distributed Deep Learning Training
https://databricks.com/ | Yesterday   

Keywords: classification, network, cpu, framework, tpu   

Car Image Recognition with Convolutional Neural Network Applications
https://medium.com/ | Yesterday   

Keywords: classification, transfer learning, foundation, network   

Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise
https://arxiv.org | Yesterday   

Keywords: neural network, classification, network   

Support Vector Machines vs Multiplicative Neuron Model Neural Network in Prediction of Bank Failures
http://article.sapub.org/ | Today   

Keywords: neural network, ios, classification, algorithms   

Save Machine Learning And Deep Learning Models
https://medium.com/ | Yesterday   

Keywords: json, ml , deep learning   

OpenAI Introduces DALLE: A Neural Network That Creates Images From Text Descriptions
https://www.marktechpost.com/ | Today   

Keywords: neural network, gpt, text generation   

Deep Learning Based OCR for Text in the Wild
https://nanonets.com/ | Yesterday   

Keywords: neural network, deep learning, nlp   

Petastorm: A Simple Approach to Deep Learning Models in Apache Parquet Format
https://dzone.com/ | Yesterday   

Keywords: api , spark, deep learning   

Finite versus Infinite Neural Networks:an Empirical Study
https://research.google/ | Yesterday   

Keywords: network, neural network   

Deep learning sharpens near-infrared images for cancer diagnostics
https://physicsworld.com/ | Yesterday   

Keywords: metric, artificial intelligence, deep learning   

What is Deep Learning?
https://medium.com/ | Yesterday   

Keywords: deep learning   

How to Organize Deep Learning Projects Examples of Best Practices
https://neptune.ai/ | Yesterday   

Keywords: deep learning, ai   

Large Data Analysis via Interpolation of Functions: Interpolating Polynomials vs Artificial Neural Networks
http://article.sapub.org/ | Today   

Keywords: data analysis, network, neural network   

FDA clears deep learning application to support image interpretation with Hyperfine's Swoop Portable MR I...
https://www.dotmed.com/ | Today   

Keywords: deep learning   

Deep learning outperforms standard machine learning in biomedical research applications - Science Daily
https://www.sciencedaily.com/ | Yesterday   

Keywords: machine learning, deep learning   

Convolutional Neural NetworksBasics to Implementation
https://medium.com/ | Yesterday   

Keywords: tensorflow, neural network, network   

Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data
https://research.google/ | Yesterday   

Keywords: machine learning, deep learning   

Deep learning outperforms standard machine learning in biomedical research applications - EurekAlert
https://www.eurekalert.org/ | Yesterday   

Keywords: machine learning, deep learning   

Feed Forward and Back Propagation in a Neural Network
https://medium.com/ | Yesterday   

Keywords: neural network, network   

ReviewMsFEN+MsBEN: Defocus Blur Detection by Fusing Multiscale Deep Features With Conv-LSTM
https://medium.com/ | Today   

Keywords: nan   

Deep learning-enabled medical computer vision
https://research.google/ | Yesterday   

Keywords: ai , computer vision, deep   

Image-based deep learning haplotype-guided study maps the global adaptation of SARS-CoV-2 - News-Medical.Net
https://www.news-medical.net/ | Yesterday   

Keywords: deep learning   

Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps
https://paperswithcode.com/ | Yesterday   

Keywords: object detection, android, deep learning   

Researchers Introduce A Deep Learning Framework For Drug Repurposing
https://www.marktechpost.com/ | Yesterday   

Keywords: deep learning framework, deep learning   

Deep Learning or Machine Learning:That is the Question
https://medium.com/ | Yesterday   

Keywords: analysis, deep learning, regression, algorithms   

Researchers use deep learning to study the effect of mental illness and other disorders on the brain - Ne...
https://www.news-medical.net/ | Yesterday   

Keywords: deep learning   

Caltech Open-Sources FNO: A Deep Learning Method For Solving PDEs (Partial differential equations)
https://www.marktechpost.com/ | Yesterday   

Keywords: deep learning   

Proposed Neural Network with FFT Transfer Function to Estimate Henon Dynamical Map
http://article.sapub.org/ | Today   

Keywords: neural network, network, node, design   

PyTorch Functions
https://medium.com/ | Yesterday   

Keywords: pytorch   

A gentle introduction to backpropagation and implementing neural network animation:
https://medium.com/ | Yesterday   

Keywords: design, neural network, network   

EMBEDDED SYSTEM MARKET CARVES A NEW PATH FOR GROWTH EMBEDDED IN IOT AND DEEP LEARNING - FLA News
https://www.flanewsonline.com/ | Yesterday   

Keywords: iot, deep learning   

Static Hand Gesture Recognition Using Multi-Layer Neural Network Classifier on Hybrid of Features
http://article.sapub.org/ | Today   

Keywords: neural network, computer vision, database   

In Brain Imaging, Deep Learning Beats Standard Machine Learning - HealthITAnalytics.com
https://healthitanalytics.com/ | Yesterday   

Keywords: machine learning, analytic, deep learning   

Graph Clustering with Graph Neural Networks
https://research.google/ | Yesterday   

Keywords: classification, analysis, network, node, neural   

RNN in Python for Beginners
https://medium.com/ | Yesterday   

Keywords: python   

Deep Learning for Cryptocurrency Predictions: An Update
https://medium.com/ | Yesterday   

Keywords: crypto, automl, deep learning, cryptocurrency   

Deep Learning Materials
https://medium.com/ | Yesterday   

Keywords: deep learning   

Deep Learning for 3D Synthesis
https://towardsdatascience.com/ | Yesterday   

Keywords: network, deep learning, data science   

Neural networks behave as hash encoders: An empirical study
https://paperswithcode.com/ | Today   

Keywords: neural network, network, express, coding   

FaceX-Zoo: A PyTorch Toolbox for Face Recognition
https://paperswithcode.com/ | Yesterday   

Keywords: pytorch, analysis, network   

Hardware for Deep Learning. Part 4: ASIC
https://blog.inten.to/ | Yesterday   

Keywords: aws, deep learning, design   

My Deep Learning Journey
https://medium.com/ | Yesterday   

Keywords: kaggle, deep learning   

Building an Artificial Neural Network in Tensorflow2.0
https://medium.com/ | Yesterday   

Keywords: network, tensorflow, neural network, analytic   

Fine-tuning pre-trained transformer models for sentence entailment
https://towardsdatascience.com/ | Yesterday   

Keywords: classification, bert model, network, supervised   

Dont drown in the ML ocean
https://towardsdatascience.com/ | Yesterday   

Keywords: dimensionality reduction, machine learning, regression   

How To Pick The Right AI Stock: A Checklist
https://analyticsindiamag.com/ | Today   

Keywords: neural network, natural language processing   

Top 10 Innovations to Watch in January 2021
https://www.analyticsinsight.net/ | Yesterday   

Keywords: turing, ios, sas , analysis, react   

An architecture for production-ready natural speech synthesizer
https://heartbeat.fritz.ai/ | Yesterday   

Keywords: sql, container, machine learning, docker   






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