(Ebook) Python Deep Learning: Understand how deep neural networks work and apply them to real-world tasks by Vasilev, Ivan ISBN 9781837638505, 1837638500

(Ebook) Python Deep Learning: Understand how deep neural networks work and apply them to real-world tasks by Vasilev, Ivan ISBN 9781837638505, 1837638500

Python Deep Learning, written by Ivan Vasilev, is a comprehensive guide to exploring advanced deep learning techniques and their applications using popular Python libraries. In this book, you'll discover different neural network architectures, such as convolutional networks, recurrent neural networks, LSTM (long short-term memory) networks, and capsule networks. Additionally, you'll learn how to tackle problems in computer vision, natural language processing, and speech recognition. The book also delves into generative model approaches, including variational autoencoders and generative adversarial networks (GANs) for image generation. As you delve into recently evolved areas of reinforcement learning, you'll understand cutting-edge algorithms that play key roles in popular games like Go, Atari, and Dota. By the end of the book, you'll be familiar with deep learning theory and its real-world applications. This book is aimed at data science professionals, machine learning engineers, and anyone interested in deep learning with a basic foundation in machine learning and Python programming. It's recommended to have mathematical knowledge and a conceptual understanding of calculus and statistics to make the most of this book.