Mix of Deep learning algorithms implementation using the Tensorflow library.
This repository contains well-known tensorflow tutorials (linear/logistic regression, MLP, CNN, CAE,...) along with some of my own implementations (ResNet, DCGAN, conditional-DCGAN). Such implementations are trained/tested on the MNIST dataset for computational purpose.
This repository does not aim at providing state-of-the-art architectures (CNN, ResNet) but rather simple examples showing how to implement the basic idea of such architectures.