Table of Contents
- Revisiting Deep Learning architecture and techniques
- Deep Neural Networks for multiclass classification
- Deep Neural Networks for regression
- Image classification and recognition
- Image classification using convolutional neural networks
- Applying Autoencoder neural networks using Keras
- Image classification for small data using transfer learning
- Creating new images using generative adversarial networks
- Deep network for text classification
- Text classification using recurrent neural networks
- Text classification using Long Short-Term Memory Network
- Text classification using convolutional recurrent networks
- Tips, tricks and the road ahead

