Neural Network Programming with TensorFlow

Table of Contents

1. Maths for Neural Networks
2. Deep Feedforward Networks
3. Optimization for Neural Networks
4. Convolutional Neural Networks
5. Recurrent Neural Networks
6. Generative Models
7. Deep Belief Networks
8. Autoencoders
9. Deeplearning Research and Summary
10. Appendix - Getting Started with Tensorflow