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Title: GitHub - mtoolin/Deep-Learning-Experiments: Notes and experiments to understand deep learning concepts

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backprophttps://patch-diff.githubusercontent.com/mtoolin/Deep-Learning-Experiments/tree/master/backprop
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https://patch-diff.githubusercontent.com/mtoolin/Deep-Learning-Experiments#deep-learning-lecture-notes-and-experiments
Advanced Deep Learning with Kerashttps://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras
Kerashttps://github.com/keras-team/keras
https://patch-diff.githubusercontent.com/mtoolin/Deep-Learning-Experiments#code-samples-have-links-to-other-repo-that-i-maintain-advanced-deep-learning-with-keras-book-or-contribute-keras
https://patch-diff.githubusercontent.com/mtoolin/Deep-Learning-Experiments#lecture-notes
Deep Learninghttps://docs.google.com/presentation/d/1JSmMV3SICXJ3SQOSj5WgJipssOpBYZKNZm1YnU5HO3g/edit?usp=sharing
Limits of Deep Learninghttps://docs.google.com/presentation/d/13nsjiEjpiUpidxThT6hoCg19o0TMG-ho4tzgvuPkWV8/edit?usp=sharing
Linear Algebrahttps://docs.google.com/presentation/d/1VBAb1C07dAQxRPIat0lDfTxWO9amnJvuHziNyVLkaFo/edit?usp=sharing
Probabilityhttps://docs.google.com/presentation/d/1eygyQDzngXLGJjixNidUXJL-c12SFkQhztbdXDAhgR8/edit?usp=sharing
Numerical Computationhttps://docs.google.com/presentation/d/1Nt9vr-8_Tcgez8jmz7sPsbXc0PDpU0d04-f2MFR5XZg/edit?usp=sharing
Concepts, Capacity, Estimators, Linear Regressionhttps://docs.google.com/presentation/d/1Xn6FaPiGTLnCRKQjIXySxpdteLVT1F8WDFketIUiTlI/edit?usp=sharing
MLE, Bayesian, Other ML Algorithmshttps://docs.google.com/presentation/d/1Dp2IBWnxQmKMszX0uL5HSfK302q6kpMfiexYAoT9z-k/edit?usp=sharing
Stochastic Gradient Descent, etchttps://docs.google.com/presentation/d/1Ss2BhwyarFGFiEIgqbQ-CW9zq0LJxmaOcHZKMzRWJ5k/edit?usp=sharing
Deep Feedforward Neural Networks, Cost, Output, Hidden Unitshttps://docs.google.com/presentation/d/1woHBsNgnwzjJndMcXXznaBKlLvWywuA6T7BFi0K7Yhg/edit?usp=sharing
Back Propagationhttps://docs.google.com/presentation/d/1XD0tA6oxOETfFn1DTGJByhhyH3MF586OCN06WvAP22E/edit?usp=sharing
Backprop on a single unit MLPhttps://patch-diff.githubusercontent.com/mtoolin/Deep-Learning-Experiments/blob/master/backprop/backprop.ipynb
Overviewhttps://docs.google.com/presentation/d/15Y1snbE73g8vw16RN6uehVHyDFxAK_b0iKcmId1j5qM/edit?usp=sharing
MLP on Linear Modelhttps://patch-diff.githubusercontent.com/mtoolin/Deep-Learning-Experiments/blob/master/keras/mlp/linear.ipynb
MNIST Samplerhttps://patch-diff.githubusercontent.com/mtoolin/Deep-Learning-Experiments/blob/master/keras/mlp/mnist-sampler.ipynb
MLP on MNISThttps://patch-diff.githubusercontent.com/mtoolin/Deep-Learning-Experiments/blob/master/keras/mlp/mlp-mnist.ipynb
Regularizationhttps://docs.google.com/presentation/d/1lg4oxRDvfUIEtzMJ7E-Lqv1cDNiwoNeT1r5T-XnFIQI/edit?usp=sharing
MLP on MNIST no Regularizerhttps://patch-diff.githubusercontent.com/mtoolin/Deep-Learning-Experiments/blob/master/keras/regularization/mlp-mnist-noreg.ipynb
MLP on MNIST with L2https://patch-diff.githubusercontent.com/mtoolin/Deep-Learning-Experiments/blob/master/keras/regularization/mlp-mnist-l2.ipynb
MLP on MNIST with Dropouthttps://patch-diff.githubusercontent.com/mtoolin/Deep-Learning-Experiments/blob/master/keras/regularization/mlp-mnist-dropout.ipynb
MLP on MNIST with Data Augmentationhttps://patch-diff.githubusercontent.com/mtoolin/Deep-Learning-Experiments/blob/master/keras/regularization/mlp-mnist-data_augment.ipynb
Optimizationhttps://docs.google.com/presentation/d/1wt53ds5dywq3WUm-jkdKFUjiHayBAV6-CSFAJg76Clg/edit?usp=sharing
Convolutional Neural Networks (CNN)https://docs.google.com/presentation/d/1vxCMwjbssYKisIWt2UYiuOFMsJaFv-5-I6mYvtJ6Hr8/edit?usp=sharing
CNN on MNISThttps://patch-diff.githubusercontent.com/mtoolin/Deep-Learning-Experiments/blob/master/keras/cnn/cnn-mnist.ipynb
CNN on MNIST using Functional APIhttps://patch-diff.githubusercontent.com/mtoolin/Deep-Learning-Experiments/blob/master/keras/cnn/cnn-functional.ipynb
CNN on MNIST Siamese Networkhttps://patch-diff.githubusercontent.com/mtoolin/Deep-Learning-Experiments/blob/master/keras/cnn/cnn-siamese.ipynb
Deep Networkshttps://docs.google.com/presentation/d/14aFawAa4zNqvPRkhmS5YATVxSlS01fig7qnstecRgG0/edit?usp=sharing
DenseNethttps://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras/blob/master/chapter2-deep-networks/densenet-cifar10-2.4.1.py
ResNethttps://github.com/keras-team/keras/blob/master/examples/cifar10_resnet.py
Embeddingshttps://docs.google.com/presentation/d/1YtKWA53T2NqXoL0vnk8jWl1WCBWCLhbh5OWz_1JrGdU/edit?usp=sharing
Recurrent Neural Networks, LSTM, GRUhttps://docs.google.com/presentation/d/1qjQkUwnr2V--7JPz0H_wkzRyTYX3UtJsYrB3MQPGKLE/edit?usp=sharing
SimpleRNN on MNISThttps://patch-diff.githubusercontent.com/mtoolin/Deep-Learning-Experiments/blob/master/keras/rnn/simple-rnn-mnist.ipynb
CuDNNLSTM on MNISThttps://patch-diff.githubusercontent.com/mtoolin/Deep-Learning-Experiments/blob/master/keras/rnn/cudnnlstm-mnist.ipynb
AutoEncodershttps://docs.google.com/presentation/d/1gXWl0luuDe1qoQLSKdOUrzoq51WhhNLeq7x3PxQXYkA/edit?usp=sharing
AutoEncoderhttps://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras/blob/master/chapter3-autoencoders/autoencoder-mnist-3.2.1.py
Denoising AutoEncoderhttps://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras/blob/master/chapter3-autoencoders/denoising-autoencoder-mnist-3.3.1.py
Colorization AutoEncoderhttps://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras/blob/master/chapter3-autoencoders/colorization-autoencoder-cifar10-3.4.1.py
Generative Adversarial Networks (GAN)https://docs.google.com/presentation/d/13fiFibqjl9ps_CktJzMNAvoZXOlzHQDu8eRSb3a227g/edit?usp=sharing
DCGANhttps://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras/blob/master/chapter4-gan/dcgan-mnist-4.2.1.py
CGANhttps://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras/blob/master/chapter4-gan/cgan-mnist-4.3.1.py
Variational Autoencoder (VAE)https://docs.google.com/presentation/d/1ORVwhh5PgWEehcUQYL9t8nBCk9cj4TgXmUJIl6WMkpo/edit?usp=sharing
VAE MLPhttps://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras/blob/master/chapter8-vae/vae-mlp-mnist-8.1.1.py
VAE CNNhttps://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras/blob/master/chapter8-vae/vae-cnn-mnist-8.1.2.py
CVAEhttps://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras/blob/master/chapter8-vae/cvae-cnn-mnist-8.2.1.py
Deep Reinforcement Learning (DRL)https://docs.google.com/presentation/d/1oZC5qGofbx-dlPcnr00_fPBK0GEtt6FnMdpsnA6XYX8/edit?usp=sharing
Q-Learninghttps://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras/blob/master/chapter9-drl/q-learning-9.3.1.py
Q-Learning on FrozenLake-v0https://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras/blob/master/chapter9-drl/q-frozenlake-9.5.1.py
DQN and DDQN on CartPole-v0https://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras/blob/master/chapter9-drl/dqn-cartpole-9.6.1.py
https://patch-diff.githubusercontent.com/mtoolin/Deep-Learning-Experiments#warning-the-following-are-old-experiments-that-are-longer-updated-and-maintained
Tensorflowhttps://www.tensorflow.org/
https://patch-diff.githubusercontent.com/mtoolin/Deep-Learning-Experiments#tensorflow-experiments
Hello World!https://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/Intro/hello.py
Linear Algebrahttps://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/Math/linear_algebra.py
Matrix Decompositionhttps://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/Math/decomposition.py
Probability Distributions using TensorBoardhttps://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/Probability/distributions.py
Linear Regression by PseudoInversehttps://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/Regression/linear_inv.py
Linear Regression by Gradient Descenthttps://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/Regression/linear_regression.py
Under Fitting in Linear Regressionhttps://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/Machine_Learning/underfit_regression.py
Optimal Fitting in Linear Regressionhttps://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/Machine_Learning/optfit_regression.py
Over Fitting in Linear Regressionhttps://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/Machine_Learning/overfit_regression.py
Nearest Neighborhttps://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/Machine_Learning/regression_nn.py
Principal Component Analysishttps://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/Machine_Learning/pca.py
Logical Ops by a 2-layer NN (MSE)https://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/Neural_Networks/logic_gate_mse.py
Logical Ops by a 2-layer NN (Cross Entropy)https://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/Neural_Networks/logic_gate_logits.py
Code for NNhttps://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/Deep_Networks/mnist_a2j_mlp.py
Code for Picklehttps://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/Deep_Networks/mnist_a2j_2pickle.py
NotMNIST CNNhttps://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/Deep_Networks/mnist_a2j_cnn.py
word2vechttps://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/Word2Vec/word2vec.py
Word Prediction/Story Generation using LSTMhttps://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/RNN/rnn_words.py
Sample Text Storyhttps://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/RNN/belling_the_cat.txt
Kerashttps://keras.io
https://patch-diff.githubusercontent.com/mtoolin/Deep-Learning-Experiments#keras-on-tensorflow-experiments
NotMNIST Deep Feedforward Networkhttps://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/Deep_Networks/mnist_a2j_mlp_keras.py
NotMNIST CNNhttps://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/Deep_Networks/mnist_a2j_cnn_keras.py
DCGAN on MNISThttps://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/GAN/dcgan_mnist.py
Readme https://patch-diff.githubusercontent.com/mtoolin/Deep-Learning-Experiments#readme-ov-file
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