Deep Learning with TensorFlow

Models:

• DBN: Deep Belief Nets
• RBM: Restricted Botzmann Machine
• dA: Denoising Autoencoders
• SdA: Stacked Denoising Autoencoders
• Logistic Regression: Logistic Regression
• MLP: Multiple Layer Perceptron
• CNN: Convolutional Neural Networks
• RNN: Recurrent Neural Networks

References :

• Y. Bengio: Learning Deep Architectures for AI, Foundations and Trends in Machine Learning, Vol. 2: No. 1, pp 1-127.

• Y. Bengio, P. Lamblin, D. Popovici, H. Larochelle: Greedy Layer-Wise Training of Deep Networks, Advances in Neural Information Processing Systems 19, 2007

• P. Vincent, H. Larochelle, Y. Bengio, P.A. Manzagol: Extracting and Composing Robust Features with Denoising Autoencoders, ICML' 08, 1096-1103, 2008

• Deep Learning Tutorials lisa-lab@github

• TensorFlow API