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Deep-learning

Readme.md

Papers related to neural network and deep learning

Name		Name	Last commit message	Last commit date
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A Closer Look at Memorization in Deep Networks.pdf		A Closer Look at Memorization in Deep Networks.pdf
A DISCIPLINED APPROACH TO NEURAL NETWORK.pdf		A DISCIPLINED APPROACH TO NEURAL NETWORK.pdf
A Neural Probabilistic Language Model.pdf		A Neural Probabilistic Language Model.pdf
A fast learning algorithm for deep belief nets.pdf		A fast learning algorithm for deep belief nets.pdf
Automatic differentiation in machine learning- - a survey.pdf		Automatic differentiation in machine learning- - a survey.pdf
BENCHMARKING NEURAL NETWORK ROBUSTNESS.pdf		BENCHMARKING NEURAL NETWORK ROBUSTNESS.pdf
Batch Normalization - Accelerating Deep Network Training by Reducing Internal Covariate Shif.pdf		Batch Normalization - Accelerating Deep Network Training by Reducing Internal Covariate Shif.pdf
Deep Boltzmann Machines.pdf		Deep Boltzmann Machines.pdf
Deep Sparse Rectifier Neural Networks - Glorot et al..pdf		Deep Sparse Rectifier Neural Networks - Glorot et al..pdf
Deep, Skinny Neural Networks are not Universal Approximators.pdf		Deep, Skinny Neural Networks are not Universal Approximators.pdf
Delving Deep into Rectifiers - Surpassing Human-Level Performance on ImageNet Classificatio.pdf		Delving Deep into Rectifiers - Surpassing Human-Level Performance on ImageNet Classificatio.pdf
Do Neural Networks Show Gestalt Phenomena.pdf		Do Neural Networks Show Gestalt Phenomena.pdf
Don't Decay the Learning Rate, Increase the Batch Size - Google Brain team Nov 2017.pdf		Don't Decay the Learning Rate, Increase the Batch Size - Google Brain team Nov 2017.pdf
Dropout A Simple Way to Prevent Neural Networks from Overfitting.pdf		Dropout A Simple Way to Prevent Neural Networks from Overfitting.pdf
Dynamic Routing Between Capsules - Hinton.pdf		Dynamic Routing Between Capsules - Hinton.pdf
Efficient backprop- lecun-98b.pdf		Efficient backprop- lecun-98b.pdf
Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition.pdf		Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition.pdf
Fixing Weight Decay Regularization in Adam.pdf		Fixing Weight Decay Regularization in Adam.pdf
FractalNet - Ultra-Deep Neural Networks without Residuals.pdf		FractalNet - Ultra-Deep Neural Networks without Residuals.pdf
Generative Adversarial Nets.pdf		Generative Adversarial Nets.pdf
Hopfield Optimization paper 1985.pdf		Hopfield Optimization paper 1985.pdf
How transferable are features in deep neural networks.pdf		How transferable are features in deep neural networks.pdf
LSTM original paper.pdf		LSTM original paper.pdf
Learning long-term dependencies with gradient descent is difficult - Bengio et al.pdf		Learning long-term dependencies with gradient descent is difficult - Bengio et al.pdf
Mastering the game of Go with deep neural networks and tree search.pdf		Mastering the game of Go with deep neural networks and tree search.pdf
Mathematics of Deep Learning.pdf		Mathematics of Deep Learning.pdf
Maxout Networks.pdf		Maxout Networks.pdf
Mixed Precision Training.pdf		Mixed Precision Training.pdf
NEURAL MACHINE TRANSLATION.pdf		NEURAL MACHINE TRANSLATION.pdf
Neural Arithmetic Logic Units - Andrew Trask.pdf		Neural Arithmetic Logic Units - Andrew Trask.pdf
Neural Ordinary Differential Equations.pdf		Neural Ordinary Differential Equations.pdf
Neural networks for optimal approximation of smooth and analytic functions.pdf		Neural networks for optimal approximation of smooth and analytic functions.pdf
Neuro-dynamic programming - an overview.pdf		Neuro-dynamic programming - an overview.pdf
On the difficulty of training recurrent neural networks.pdf		On the difficulty of training recurrent neural networks.pdf
Practical recommendations for gradient-based training of deep architectures.pdf		Practical recommendations for gradient-based training of deep architectures.pdf
Readme.md		Readme.md
SESSION-BASED RECOMMENDATIONS WITH RECURRENT NEURAL NETWORKS.pdf		SESSION-BASED RECOMMENDATIONS WITH RECURRENT NEURAL NETWORKS.pdf
Stochastic Gradient Descent with Warm Restarts.pdf		Stochastic Gradient Descent with Warm Restarts.pdf
The Matrix Calculus You Need For Deep Learning.pdf		The Matrix Calculus You Need For Deep Learning.pdf
The power of deeper networks for expressing natural functions.pdf		The power of deeper networks for expressing natural functions.pdf
Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure.pdf		Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure.pdf
Understanding Convolutional Neural Networks with A Mathematical Model.pdf		Understanding Convolutional Neural Networks with A Mathematical Model.pdf
Understanding Deep Learning required Rethinking Generalization.pdf		Understanding Deep Learning required Rethinking Generalization.pdf
Understanding the difficulty of training deep feedforward neural networks.pdf		Understanding the difficulty of training deep feedforward neural networks.pdf
Universal Approximation using Radial-Basis-Function Networks.pdf		Universal Approximation using Radial-Basis-Function Networks.pdf
Universal approximation bounds for superposition of a sigmoidal function.pdf		Universal approximation bounds for superposition of a sigmoidal function.pdf
Visualizing and Understanding Recurrent Networks - Karpathy, Fei-Fei-Li.pdf		Visualizing and Understanding Recurrent Networks - Karpathy, Fei-Fei-Li.pdf
Why does deep and cheap learning work so well.pdf		Why does deep and cheap learning work so well.pdf
d2l-en.pdf		d2l-en.pdf

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Papers related to neural network and deep learning