Название: A Visual Introduction to Deep LearningАвтор: Meor Amer
Издательство: kDimensions
Год: 2022
Страниц: 236
Язык: английский
Формат: pdf
Размер: 23.5 MB
Deep Learning is the algorithm powering the current renaissance of Artificial Intelligence (AI). And the progress is not showing signs of slowing down. A McKinsey report estimates that by 2030, AI will potentially deliver $13 trillion to the global economy, or 16% of the world's current GDP. This opens up exciting career opportunities in the coming decade. But Deep Learning can be quite daunting to learn. With the abundance of learning resources in recent years has emerged another problem—information overload. This book aims to compress this knowledge and make the subject approachable. By the end of this book, you will be able to build a visual intuition about Deep Learning and neural networks. This is an ideal introduction for people who have limited time but still want to go beyond trivial, hand-waving explanations about the core concepts in Deep Learning. The book's focus is illustrations with a minimal amount of text. The illustrations are clear, crisp, and accurate. Moreover, they perfectly balance the text. Many books are too verbose. Some are too terse. Here, Meor strikes the perfect balance -- enough text to explain the little the illustrations don't. The book is like a CEO summary of Deep Learning and serves as a good starting point for people who want an overview before diving in or who simply want an overview to see what the fuss is all about.
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