Deep Learning - Zhang, Dengsheng
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This book aims to help readers have an insight understanding of DL technology and develop their own skills on deep network design. To achieve this goal, it adopts a diagnostive and prescriptive approach. The book is characterised with extensive anatomy and illustrations on canonical DL networks, they are further enlightened by deep analysis and math formulations. Theories are complemented with algorithms and exercises. Practical systems are also employed to demonstrate the mechanism and behaviour of the networks, exposing the bottlenecks and issues of the DL models. A series of advanced…mehr

Produktbeschreibung
This book aims to help readers have an insight understanding of DL technology and develop their own skills on deep network design. To achieve this goal, it adopts a diagnostive and prescriptive approach. The book is characterised with extensive anatomy and illustrations on canonical DL networks, they are further enlightened by deep analysis and math formulations. Theories are complemented with algorithms and exercises. Practical systems are also employed to demonstrate the mechanism and behaviour of the networks, exposing the bottlenecks and issues of the DL models. A series of advanced network engineering methods are presented targeting specific issues and applications in deep learning design. They include RNN, LSTM, ResNet, Inception network, 1x1 convolution, Deep Autoencoder, U-net, GCN, R-CNN, YOLO, BP, BPTT, GAN, CBOW and skip-gram. Hone and enrich your DL skills with this cutting edge book crafted by one of the top 2% scientists in the world. This book can also be bought from Google Play Store: https: //play.google.com/store/search?q=dengsheng&c=books
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