Best matching news and articles for Deep Learning

Title Summary/Keywords
How to tune Pytorch Lightning hyperparameters
https://towardsdatascience.com/ | Today
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Content: Wondering how to optimize Pytorch Lightning hyperparameters in 30 lines of code is one of the hottest AI libraries of 2020, and it makes AI research scalable and fast to iterate on. But if you use Pytorch Lightning, youll need to do hyperparameter tuning.Proper hyperparameter tuning can make the d...

Keywords: gpu, ai , metric, scala
Fully Connected vs Convolutional Neural Networks
https://medium.com/ | Yesterday
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Content: Implementation using KerasIn this post, we will cover the differences between Fully connected neural network and Convolutional neural network. We will focus on understanding the differences in terms of the model architecture and results obtained on the MNIST dataset.Fully connected neural networkA f...

Keywords: neural network, node, network, visual
A systematic review of artificial intelligence in imagingPubrica
https://medium.com/ | Yesterday
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Content: Introduction , The significance of artificial intelligence has to change daily life through its AI tools like speech recognition, robotics, etc. Most of the healthcare sectors achieved great success using artificial intelligence. It is essential to conduct systematic study about the artificial ana...

Keywords: deep learning, analysis, analytic, ai
Reducing Deep Learning Model Size Without Effecting Its Original Performance and Accuracy With
https://medium.com/ | Today
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Content: All you need know how train scalable and efficient deep learning models...

Keywords: scala, deep learning
Deep Learning is Singular, and That's Good.
https://arxiv.org | Today
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Content: In singular models, the optimal set of parameters forms an analytic set with singularities and classical statistical inference cannot be applied to such models. This is significant for deep learning as neural networks are singular and thus "dividing" by the determinant of the Hessian or employing the Laplace approximation are not appropriate. Despite its potential for addressing fundamental issues in deep learning, singular learning theory appears to have made little inroads into the developing ...

Keywords: analytic, network, deep learning, statistic
A Very Compact Embedded CNN Processor Design Based on Logarithmic Computing.
https://arxiv.org | Today
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Content: In this paper, we propose a very compact embedded CNN processor design based on a modified logarithmic computing method using very low bit-width representation. Our high-quality CNN processor can easily fit into edge devices. For Yolov2, our processing circuit takes only 0.15 mm2 using TSMC 40 nm cell library. The key idea is to constrain the activation and weight values of all layers uniformly to be within the range [-1, 1] and produce low bit-width logarithmic representation. With the uniform ...

Keywords: object detection, classification, design, computing
Stability of Algebraic Neural Networks to Small Perturbations.
https://arxiv.org | Today
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Content: Algebraic neural networks (AlgNNs) are composed of a cascade of layers each one associated to and algebraic signal model, and information is mapped between layers by means of a nonlinearity function. AlgNNs provide a generalization of neural network architectures where formal convolution operators are used, like for instance traditional neural networks (CNNs) and graph neural networks (GNNs). In this paper we study stability of AlgNNs on the framework of algebraic signal processing. We show how ...

Keywords: neural network, framework, graph neural
A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers.
https://arxiv.org | Today
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Content: Brain-Computer Interface (BCI) bridges the human's neural world and the outer physical world by decoding individuals' brain signals into commands recognizable by computer devices. Deep learning has lifted the performance of brain-computer interface systems significantly in recent years. In this article, we systematically investigate brain signal types for BCI and related deep learning concepts for brain signal analysis. We then present a comprehensive survey of deep learning techniques used for ...

Keywords: deep learning, coding, analysis
On the Power of Deep but Naive Partial Label Learning.
https://arxiv.org | Today
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Content: Partial label learning (PLL) is a class of weakly supervised learning where each training instance consists of a data and a set of candidate labels containing a unique ground truth label. To tackle this problem, a majority of current state-of-the-art methods employs either label disambiguation or averaging strategies. So far, PLL methods without such techniques have been considered impractical. In this paper, we challenge this view by revealing the hidden power of the oldest and naivest PLL meth...

Keywords: supervised learning, neural network, network
Implementation of Convolutional Neural Network Approach for COVID-19 Disease Detection - DocWire News
https://www.docwirenews.com/ | Yesterday
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Content: Implementation of Convolutional Neural Network Approach for COVID 19 Disease DetectionDocWire News...

Keywords: network, neural network
Why is Batch Normalization useful in Deep Neural Network?
https://towardsdatascience.com/ | Yesterday
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Content: Batch Normalization assists in the regularization of deep neural networks....

Keywords: network, neural network
Computational Complexity of Neural Networks
https://medium.com/ | Yesterday
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Content: On why neural networks are so slow to train and how can we speed it up...

Keywords: network, neural network
Pruning with Catalyst
https://medium.com/ | Yesterday
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Content: Hi My name is Do we need to go deeper In the past few years, state of the art architectures became more and more complex. The number of parameters grows exponentially. But what if all networks are over parameterized and more than half parameters dont influence the result Several methods can help ...

Keywords: pytorch, neural network, framework, network
Scientists Discover Surprising Similarity Between Neural Networks and Human Brain - Futurism
https://futurism.com/ | Yesterday
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Content: Scientists Discover Surprising Similarity Between Neural Networks and Human BrainFuturism...

Keywords: network, neural network
Product based on a Deep Learning model (by fastai v2)
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Content: HowToDo guide to launch product based on Deep Learning model by fastai v2 ....

Keywords: deep learning
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks.
https://arxiv.org | Today
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Content: Researchers often treat data-driven and theory-driven models as two disparate or even conflicting methods in travel behavior analysis. However, the two methods are highly complementary because data-driven methods are more predictive but less interpretable and robust, while theory-driven methods are more interpretable and robust but less predictive. Using their complementary nature, this study designs a theory-based residual neural network (TB-ResNet) framework, which synergizes discrete choice m...

Keywords: r , network, framework, design
AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed Sensing.
https://arxiv.org | Today
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Content: Compressed sensing (CS) is a challenging problem in image processing due to reconstructing an almost complete image from a limited measurement. To achieve fast and accurate CS reconstruction, we synthesize the advantages of two well-known methods (neural network and optimization algorithm) to propose a novel optimization inspired neural network which dubbed AMP-Net. AMP-Net realizes the fusion of the Approximate Message Passing (AMP) algorithm and neural network. All of its parameters are learne...

Keywords: neural network, network
Rotated Binary Neural Network.
https://arxiv.org | Today
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Content: Binary Neural Network (BNN) shows its predominance in reducing the complexity of deep neural networks. However, it suffers severe performance degradation. One of the major impediments is the large quantization error between the full-precision weight vector and its binary vector. Previous works focus on compensating for the norm gap while leaving the angular bias hardly touched. In this paper, for the first time, we explore the influence of angular bias on the quantization error and then introduc...

Keywords: quant, neural network, network
Quantum Deformed Neural Networks.
https://arxiv.org | Today
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Content: We develop a new quantum neural network layer designed to run efficiently on a quantum computer but that can be simulated on a classical computer when restricted in the way it entangles input states. We first ask how a classical neural network architecture, both fully connected or convolutional, can be executed on a quantum computer using quantum phase estimation. We then deform the classical layer into a quantum design which entangles activations and weights into quantum superpositions. While t...

Keywords: design, quant, neural network, network
Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution.
https://arxiv.org | Today
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Content: We propose a learned-structured unfolding neural network for the problem of compressive sparse multichannel blind-deconvolution. In this problem, each channel's measurements are given as convolution of a common source signal and sparse filter. Unlike prior works where the compression is achieved either through random projections or by applying a fixed structured compression matrix, this paper proposes to learn the compression matrix from data. Given the full measurements, the proposed network is...

Keywords: neural network, network
Membangun Gender Classifier menggunakan CNN (Convolutional Neural Network
https://medium.com/ | Today
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Content: Halo semua , ini merupakan artikel pertama saya yang akan membahas tentang bagaimana membangun gender classification menggunakan arsitektur deep learning yaitu CNN berdasarkan gambar wajah seseorang. Semoga artikel ini bisa membantu menambah pengetahuan kita D. , Sedikit penjelasan tentang CNN at...

Keywords: test, network, deep learning, seo
The Roadmap of Mathematics for Deep Learning
https://towardsdatascience.com/ | Yesterday
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Content: Understanding the inner workings of neural networks from the ground up...

Keywords: deep learning, mathematic, neural network
Fake News Classifier using LSTM
https://medium.com/ | Yesterday
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Content: Today we will discuss one of the most widely used algorithms in Natural Language Processing NLP by working on small project....

Keywords: nlp, natural language processing, algorithms
Introduction To Deep Learning Chapter 5
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Content: Introduction To Deep Learning Chapter...

Keywords: deep learning
Multi layer Perceptron Neural Network Algorithm And Its Components
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Content: Human beings have marvellous tendency to duplicate or replicate nature....

Keywords: neural network, network
Deep Learning in Storytelling & Content Creation: A Primer
https://medium.com/ | Yesterday
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Content: With the recent news of the closing of Regal amp Cineworld cinemas, it appears as if the 100 year old cultural tradition and associated x2026...

Keywords: deep learning, primer
Machine-Assisted Companies Will Be A Completely New Beast
https://towardsdatascience.com/ | Yesterday
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Content: towardsdatascience.com We all have fairly clear idea of what artificial intelligence AI means even if maybe not so clear on how it works. Over the past few years, however, the terms machine learning and deep learningTweeted by DrMattCrowson...

Keywords: artificial intelligence, ai , deep
Natural Language Processing
https://medium.com/ | Yesterday
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Content: Building Natural Language Processing DemoQuick NoteThis is not an article to teach Natural Language Processing NLP, nor teach about building web applications or APIs. Its just an article where Im talking about the demo application Ive been working on to process NLP and some basic concepts Ive be...

Keywords: analysis, pytorch, summarization, natural language
Framework for Neural Style Transfer (NST) built upon PyTorch
https://pythonawesome.com/ | Yesterday
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Content: pystichepystiche pronounced pasti is framework for Neural Style Transfer NST built upon PyTorch. The name of the project is pun on pastiche meaning A pastiche is work of visual art ... that imitates the style or character of the work of one or more other artists. Unlike parody, pastiche celeb...

Keywords: visual, dl , python, deep
Wasserstein Distance, Contraction Mapping, and Modern RL Theory.
https://towardsdatascience.com/ | Yesterday
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Content: Wasserstein Distance, Contraction Mapping, and Modern RL TheoryClassic Math Formulations And Their Impact on Modern RLPhoto by on In Reinforcement Learning RL an agent seeks an optimal policy for sequential decision making problem. The common approach to reinforcement learning which models the exp...

Keywords: rl , analysis, computing, metric
Deep Science: Alzheimers screening, forest-mapping drones, machine learning in space, more
https://techcrunch.com/ | Today
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Content: 1042 Credit Android AuthorityA new One UI 3.0 beta update is rolling out now in the United States.The update is for phones in the Galaxy S20 series and is based on Android 11.There are ton of bug fixes and improvements in this second iteration of the beta program.Today, via enrolled in the beta pr...

Keywords: big data, security, data science, network, android
Quirky Keras: Custom and Asymmetric Loss Functions for Keras in R
https://towardsdatascience.com/ | Today
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Content: Image by MontyLov on wrapper functions to construct custom loss functions that take arguments other than y pred and y true for Keras in R. See example code for linear exponential error LINEXE and weighted least squared error WLSE .BackgroundIn statistical learning, the loss function is translatio...

Keywords: r , metric, mathematic, network
LambdaNetworks: Modeling long-Range Interactions without Attention
https://medium.com/ | Today
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Content: LambdaNetworks Modeling long Range Interactions without Attention...

Keywords: network, pytorch
Time series prediction(Multivariate)
https://medium.com/ | Today
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Content: Convert Multivariate time series into format that our feed forward neural network can use...

Keywords: neural network, network
Object Detection Tutorial with torchvision
https://medium.com/ | Yesterday
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Content: Torchvision, library in PyTorch, aids in quickly exploiting pre configured models for use in computer vision applications. This is x2026...

Keywords: tutorial, computer vision, object detection
Error Backpropagation
https://towardsdatascience.com/ | Yesterday
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Content: Error Backpropagation...

Keywords: network, neural network
Rethinking Attention with Performers
http://ai.googleblog.com/ | Yesterday
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Content: 1042 Credit Android AuthorityA new One UI 3.0 beta update is rolling out now in the United States.The update is for phones in the Galaxy S20 series and is based on Android 11.There are ton of bug fixes and improvements in this second iteration of the beta program.Today, via enrolled in the beta pr...

Keywords: big data, security, data science, network, android
Adapting stepsizes by the belief in observed gradients
https://pythonawesome.com/ | Yesterday
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Content: AdaBelief OptimizerNeurIPS 2020 Spotlight, trains fast as Adam, generalizes well as SGD, and is stable to train GANs.Quick GuideAdaBelief uses different denominator from Adam, and is orthogonal to other techniques such as recification, decoupled weight decay, weight averaging et.al.This implies when...

Keywords: visual, tensorflow, collaborate, transformer, reinforcement
Different memory allocation on GTX 1080 ti, Tesla k80, Tesla v100 for the same pytorch model
https://askubuntu.com/ | Yesterday
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Content: have tried loading distilbert model in pytorch over different GPUs GeForce GTX 1080 ti, tesla k80, tesla v100 . According to the pytorch cuda profiler, the memory consumption is identical in all of these GPUs 534MB . But quot nvidia smi quot shows different memory consumption for each of them GT...

Keywords: bert model, python, gpu, transformer
Integration of recurrent convolutional neural network and optimal encryption scheme for intrusion detection with secure data...
https://onlinelibrary.wiley.com/ | Yesterday
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Content: AbstractData communication security is growing day after day with the proliferation of cloud computing. It is primarily because of the few security constraints and challenges occurring in the cloud environment during data transmission. Existing research has shown that the intrusion detection system ...

Keywords: security, cloud computing, network, crypto
Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures - DocWire News
https://www.docwirenews.com/ | Yesterday
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Content: Decoding COVID 19 pneumonia comparison of deep learning and radiomics CT image signaturesDocWire News...

Keywords: deep learning, coding
How VeteransWould Study Machine Learning If He Had to Start Today
https://www.aitrends.com/ | Yesterday
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Content: By AI Trends Staff How one gets educated for AI continues to be an area worth exploring with many options available. Charting ones career as member of newly formed team working to leverage AI to help the business is best met with creativity and patience. Its as much mission to find out how 8230...

Keywords: tensorflow, python, seo, ml
Deep learning reinsurance startup Kettle announces seed financing round - Reinsurance News
https://www.reinsurancene.ws/ | Yesterday
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Content: Deep learning reinsurance startup Kettle announces seed financing roundReinsurance News...

Keywords: deep learning, startup
Advancements in AR and VR with New Wrist Camera
https://www.unite.ai/ | Yesterday
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Content: Augmented reality AR and virtual reality VR have advanced one step further with the creation of new wrist worn device for 3D hand pose estimation. The device was created by researchers at Tokyo Institute of Technology Tokyo Tech , along with teams from Carnegie Mellon University, the University...

Keywords: visual, neural network, virtual reality
Generative Adversarial Networks
http://cacm.acm.org/ | Today
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Content: In this overview paper, we describe one particular approach to unsupervised learning via generative modeling called generative adversarial networks. We briefly review applications of GANs and identify core research problems related to convergence in games necessary to make GANs reliable technology....

Keywords: game, network, supervised learning, unsupervised
Preferred Networks ChainerRL Joins PyTorch Ecosystem as PFRL - Synced
https://syncedreview.com/ | Yesterday
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Content: Preferred Networks ChainerRL Joins PyTorch Ecosystem as PFRL Synced...

Keywords: pytorch, network
The Two Main Barriers Against Deep Learning - The Tech Edvocate
https://www.thetechedvocate.org/ | Yesterday
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Content: The Two Main Barriers Against Deep Learning The Tech Edvocate...

Keywords: deep learning
Free Webinar Explores Power-efficient Edge AI Applications through Neuromorphic Processing
https://www.edge-ai-vision.com/ | Yesterday
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Content: On December 17, 2020 at am PT noon ET , Anil Mankar, Chief Development Officer at BrainChip, will present the free half hour webinar Power efficient Edge AI Applications through Neuromorphic Processing, organized by the Edge AI and Vision Alliance. Heres the description, from the event registrat...

Keywords: euromorphic, neural network, ai
Complete Tutorial On LeNet-5 | Guide To Begin With CNNs
https://analyticsindiamag.com/ | Yesterday
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Content: To start with CNNs, LeNet 5 would be the best to learn first as it is simple and basic model architecture. In this article, Ill be discussing the architecture of LeNet 5 which is the very first convolutional neural network to be built.The post Complete Tutorial On LeNet 5 Guide To Begin With CNNs a...

Keywords: tutorial, computer vision, neural network
Neurovis
http://www.visualcomplexity.com/ | Today
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Content: 1042 Credit Android AuthorityA new One UI 3.0 beta update is rolling out now in the United States.The update is for phones in the Galaxy S20 series and is based on Android 11.There are ton of bug fixes and improvements in this second iteration of the beta program.Today, via enrolled in the beta pr...

Keywords: big data, security, data science, network, android
Title
How to tune Pytorch Lightning hyperparameters
https://towardsdatascience.com/ | Today   

Keywords: gpu, ai , metric, scala   

Fully Connected vs Convolutional Neural Networks
https://medium.com/ | Yesterday   

Keywords: neural network, node, network, visual   

A systematic review of artificial intelligence in imagingPubrica
https://medium.com/ | Yesterday   

Keywords: deep learning, analysis, analytic, ai   

Reducing Deep Learning Model Size Without Effecting Its Original Performance and Accuracy With
https://medium.com/ | Today   

Keywords: scala, deep learning   

Deep Learning is Singular, and That's Good.
https://arxiv.org | Today   

Keywords: analytic, network, deep learning, statistic   

A Very Compact Embedded CNN Processor Design Based on Logarithmic Computing.
https://arxiv.org | Today   

Keywords: object detection, classification, design, computing   

Stability of Algebraic Neural Networks to Small Perturbations.
https://arxiv.org | Today   

Keywords: neural network, framework, graph neural   

A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers.
https://arxiv.org | Today   

Keywords: deep learning, coding, analysis   

On the Power of Deep but Naive Partial Label Learning.
https://arxiv.org | Today   

Keywords: supervised learning, neural network, network   

Implementation of Convolutional Neural Network Approach for COVID-19 Disease Detection - DocWire News
https://www.docwirenews.com/ | Yesterday   

Keywords: network, neural network   

Why is Batch Normalization useful in Deep Neural Network?
https://towardsdatascience.com/ | Yesterday   

Keywords: network, neural network   

Computational Complexity of Neural Networks
https://medium.com/ | Yesterday   

Keywords: network, neural network   

Pruning with Catalyst
https://medium.com/ | Yesterday   

Keywords: pytorch, neural network, framework, network   

Scientists Discover Surprising Similarity Between Neural Networks and Human Brain - Futurism
https://futurism.com/ | Yesterday   

Keywords: network, neural network   

Product based on a Deep Learning model (by fastai v2)
https://medium.com/ | Yesterday   

Keywords: deep learning   

Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks.
https://arxiv.org | Today   

Keywords: r , network, framework, design   

AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed Sensing.
https://arxiv.org | Today   

Keywords: neural network, network   

Rotated Binary Neural Network.
https://arxiv.org | Today   

Keywords: quant, neural network, network   

Quantum Deformed Neural Networks.
https://arxiv.org | Today   

Keywords: design, quant, neural network, network   

Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution.
https://arxiv.org | Today   

Keywords: neural network, network   

Membangun Gender Classifier menggunakan CNN (Convolutional Neural Network
https://medium.com/ | Today   

Keywords: test, network, deep learning, seo   

The Roadmap of Mathematics for Deep Learning
https://towardsdatascience.com/ | Yesterday   

Keywords: deep learning, mathematic, neural network   

Fake News Classifier using LSTM
https://medium.com/ | Yesterday   

Keywords: nlp, natural language processing, algorithms   

Introduction To Deep Learning Chapter 5
https://medium.com/ | Today   

Keywords: deep learning   

Multi layer Perceptron Neural Network Algorithm And Its Components
https://medium.com/ | Today   

Keywords: neural network, network   

Deep Learning in Storytelling & Content Creation: A Primer
https://medium.com/ | Yesterday   

Keywords: deep learning, primer   

Machine-Assisted Companies Will Be A Completely New Beast
https://towardsdatascience.com/ | Yesterday   

Keywords: artificial intelligence, ai , deep   

Natural Language Processing
https://medium.com/ | Yesterday   

Keywords: analysis, pytorch, summarization, natural language   

Framework for Neural Style Transfer (NST) built upon PyTorch
https://pythonawesome.com/ | Yesterday   

Keywords: visual, dl , python, deep   

Wasserstein Distance, Contraction Mapping, and Modern RL Theory.
https://towardsdatascience.com/ | Yesterday   

Keywords: rl , analysis, computing, metric   

Deep Science: Alzheimers screening, forest-mapping drones, machine learning in space, more
https://techcrunch.com/ | Today   

Keywords: big data, security, data science, network, android   

Quirky Keras: Custom and Asymmetric Loss Functions for Keras in R
https://towardsdatascience.com/ | Today   

Keywords: r , metric, mathematic, network   

LambdaNetworks: Modeling long-Range Interactions without Attention
https://medium.com/ | Today   

Keywords: network, pytorch   

Time series prediction(Multivariate)
https://medium.com/ | Today   

Keywords: neural network, network   

Object Detection Tutorial with torchvision
https://medium.com/ | Yesterday   

Keywords: tutorial, computer vision, object detection   

Error Backpropagation
https://towardsdatascience.com/ | Yesterday   

Keywords: network, neural network   

Rethinking Attention with Performers
http://ai.googleblog.com/ | Yesterday   

Keywords: big data, security, data science, network, android   

Adapting stepsizes by the belief in observed gradients
https://pythonawesome.com/ | Yesterday   

Keywords: visual, tensorflow, collaborate, transformer, reinforcement   

Different memory allocation on GTX 1080 ti, Tesla k80, Tesla v100 for the same pytorch model
https://askubuntu.com/ | Yesterday   

Keywords: bert model, python, gpu, transformer   

Integration of recurrent convolutional neural network and optimal encryption scheme for intrusion detection with secure data...
https://onlinelibrary.wiley.com/ | Yesterday   

Keywords: security, cloud computing, network, crypto   

Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures - DocWire News
https://www.docwirenews.com/ | Yesterday   

Keywords: deep learning, coding   

How VeteransWould Study Machine Learning If He Had to Start Today
https://www.aitrends.com/ | Yesterday   

Keywords: tensorflow, python, seo, ml   

Deep learning reinsurance startup Kettle announces seed financing round - Reinsurance News
https://www.reinsurancene.ws/ | Yesterday   

Keywords: deep learning, startup   

Advancements in AR and VR with New Wrist Camera
https://www.unite.ai/ | Yesterday   

Keywords: visual, neural network, virtual reality   

Generative Adversarial Networks
http://cacm.acm.org/ | Today   

Keywords: game, network, supervised learning, unsupervised   

Preferred Networks ChainerRL Joins PyTorch Ecosystem as PFRL - Synced
https://syncedreview.com/ | Yesterday   

Keywords: pytorch, network   

The Two Main Barriers Against Deep Learning - The Tech Edvocate
https://www.thetechedvocate.org/ | Yesterday   

Keywords: deep learning   

Free Webinar Explores Power-efficient Edge AI Applications through Neuromorphic Processing
https://www.edge-ai-vision.com/ | Yesterday   

Keywords: euromorphic, neural network, ai   

Complete Tutorial On LeNet-5 | Guide To Begin With CNNs
https://analyticsindiamag.com/ | Yesterday   

Keywords: tutorial, computer vision, neural network   

Neurovis
http://www.visualcomplexity.com/ | Today   

Keywords: big data, security, data science, network, android   






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