The repo contains my personal excerises in implmenting some common neural network models with tensorflow.
The algorithms mostly follow the deep learning tutorial, which inlcudes:
- Logistic Regression
- Multi-layer Perceptron (MLP)
- Deep Belief Net (DBN)
- Restricted Boltzmann Machine (RBM)
- Denoising Autoencoder
