Artificial Neural Network in Python
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Updated
Aug 18, 2017 - Python
Artificial Neural Network in Python
Generalization of Adam, AdaMax, AMSGrad algorithms for PyTorch
gradient descent optimization algorithms
DNN classifiers for WDBC and Wine datasets.
Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). …
Collection of notebooks I made on deep learning topics.
A create-react-app boilerplate that is bootstrapped using the ignite-react-app cli.
AdaShift optimizer implementation in PyTorch
Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
Simple MATLAB toolbox for deep learning network: Version 1.0.3
Coding Assignment of PFN intern 2019
Built MLP with ReLU and Adam optimization with 2 layers, 3 layers and 5 layers and observed how it works.
My take on PFN Internship ML Task 2019
Add a description, image, and links to the adam topic page so that developers can more easily learn about it.
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