Deep-Learning-small-projects

This includes some small projects I did during learning about deep learning.

Knn
Using Logistic regression on MINST and Cfar-10
Implementing Ada Optimizer using Tensorflow.
CNN
improved CNN, using different architecture, adding dropout, skip connection and batch normalization.

Name		Name	Last commit message	Last commit date
Latest commit History 61 Commits
Adam Optimizer implementation		Adam Optimizer implementation
Autoencoder		Autoencoder
CNN on Cifar-10		CNN on Cifar-10
CNN with dropout		CNN with dropout
Classification on MINIST with double digits		Classification on MINIST with double digits
Knn		Knn
Logistic_regression		Logistic_regression
Semantic Segmentation		Semantic Segmentation
.gitignore		.gitignore
README.md		README.md

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