Amer M. A Visual Introduction to Deep Learning 2022 torrent

Textbook in PDF format

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." — Ronald T. Kneusel, Ph.D. (author of Practical Deep Learning: A Python-Based Introduction and Math for Deep Learning)
"I am always on the lookout for effective ways to summarize concepts visually. This book takes an impressive no frills approach for people who want to learn about the underpinnings of neural networks in the most time-effective way possible." — Sebastian Raschka, Ph.D. (author of Python Machine Learning)
"A great book for anyone who wants to understand the concepts, intricacies, and applications of neural networks. Wonderful graphics, great explanations, highly recommended!" — Luis Serrano, Ph.D. (author of Grokking Machine Learning)
Introduction
Foundation
LiPear-Regression
Non-Lineear-Regression
Binary-Classification
Multi-Class-Classification
The-Bigger-Picturp