Table of Contents

The Nuts and Bolts of Neural Networks

Understanding Convolutional Networks

Advanced Convolutional Networks

Object Detection and Image Segmentation

Generative Models

Language Modelling

Understanding Recurrent Networks

Sequence-to-Sequence Models and Attention

Emerging Neural Network Designs

Meta Learning

Deep Learning for Autonomous Vehicles

About the Author

Ivan Vasilev started working on the first open source Java deep learning library with GPU support in 2013. The library was acquired by a German company, where he continued to develop it. He has also worked as a machine learning engineer and researcher in the area of medical image classification and segmentation with deep neural networks. Since 2017, he has been focusing on financial machine learning. He is working on a Python-based platform that provides the infrastructure to rapidly experiment with different machine learning algorithms for algorithmic trading. Ivan holds an MSc degree in artificial intelligence from the University of Sofia, St. Kliment Ohridski.