README.md

Deep Learning Tutorials with Tensorflow

The deeplearning algorithms are carefully implemented by tensorflow.

Environment

• Python 3.5
• tensorflow 0.12

The deeplearning algorithms includes (now):

• Logistic Regression logisticRegression.py
• Multi-Layer Perceptron (MLP) mlp.py
• Convolution Neural Network (CNN) cnn.py
• Denoising Aotoencoder (DA) da.py
• Stacked Denoising Autoencoder (SDA) sda.py
• Restricted Boltzmann Machine (RBM) rbm.py
• Deep Belief Network (DBN) dbn.py

Note: the project aims at imitating the well-implemented algorithms in Deep Learning Tutorials (coded by Theano).

Results

Practical examples

You can find more practical examples with tensorflow here:

Don't hesitate to star this project if it is helpful!