Author:Allaire, Joseph. The book is structured around a series of practical examples that introduce each new concept and demonstrate best practices. Youll begin by learning what deep learning is, how it connects with AI and Machine Learning, and why its rapidly gaining in importance right now.
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ISBN-13: 9783030890278, 978-3030890278. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book's material.
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His straightforward approach is refreshing and he permits the reader to dream just a bit about where DL may yet take us. Learning Deep Learning is a complete guide to DL. He describes how these concepts are used to build modern networks for computer vision and natural language processing (NLP) including Mask R-CNN GPT and BERT.
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Publisher : OReilly (1 Sept 2017). Although interest in machine learning has reached a high point lofty expectations often scuttle projects before they get very far. Title: Deep Learning: A Practitioners Approach.
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It contains 20 chapters. We do not accept P.O. Boxes. We're happy to help and do our best to make you satisfied. This is to ensure that you receive each item as soon as possible.
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Deep Learning is now synonymous with applied machine learning. Provides extensive references at the end of each chapter to enhance further study. > Introduction to Deep Learning. Fast Deep Learning Architechtures.
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Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks.
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