Machine Learning Notes

Topics

First digit represents the topic, second digit represent the subtopic.

Name		Name	Last commit message	Last commit date
data		data
images		images
optimizers		optimizers
utils		utils
.gitignore		.gitignore
01-review-linear-algebra-review.ipynb		01-review-linear-algebra-review.ipynb
10-ml-basics_visualize-gradient-descent-with-ggplot2.Rmd		10-ml-basics_visualize-gradient-descent-with-ggplot2.Rmd
12-ml-basics_linear-regression-with-gradient-descent.Rmd		12-ml-basics_linear-regression-with-gradient-descent.Rmd
13-ml-basic_logistic-regression-with-gradient-descent.Rmd		13-ml-basic_logistic-regression-with-gradient-descent.Rmd
21-optimization_gradient-descent-with-momentum.ipynb		21-optimization_gradient-descent-with-momentum.ipynb
22-neuralnet_how-neural-networks-work.ipynb		22-neuralnet_how-neural-networks-work.ipynb
30-neuralnet_learning-xor.ipynb		30-neuralnet_learning-xor.ipynb
31-neuralnet_mnist-digits-classification-with-keras.R		31-neuralnet_mnist-digits-classification-with-keras.R
33-neuralnet_fully-connected-example-keras.ipynb		33-neuralnet_fully-connected-example-keras.ipynb
41-convnet_implementing-lenet5.ipynb		41-convnet_implementing-lenet5.ipynb
42-convnet_autoencoder.ipynb		42-convnet_autoencoder.ipynb
42-convnet_predicting-with-vgg16.ipynb		42-convnet_predicting-with-vgg16.ipynb
43-image-matting-celeba.ipynb		43-image-matting-celeba.ipynb
50-rnn_representation.ipynb		50-rnn_representation.ipynb
60-understanding-loss-functions.ipynb		60-understanding-loss-functions.ipynb
README.md		README.md