Ten Steps to Keras Goal of the Tutorial - Introduce main features of Keras APIs to build Neural Networks. - Learn how to implement simple and complex Deep Neural Networks Architectures using Keras. - Discover Keras Implementation and Internals. - Note: examples and hands-on exercises will be provided along the way. - Multi-layer Fully Connected Networks (and the backends) - Bottleneck features and Embeddings - Convolutional Networks - Transfer Learning and Fine Tuning - Residual Networks - Recursive Neural Networks - [Variational] AutoEncoders and Adversarials - Multi-Modal Networks - Custom Layers and Optimisers - Interactive Networks and Callbacks