Deep Learning from Scratch: Building with Python from First Principles Contributor(s): Weidman, Seth (Author) |
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ISBN: 1492041416 ISBN-13: 9781492041412 Publisher: O'Reilly Media OUR PRICE: $59.39 Product Type: Paperback - Other Formats Published: October 2019 |
Additional Information |
BISAC Categories: - Computers | Image Processing - Computers | Computer Science - Computers | Databases - Data Mining |
Dewey: 006.32 |
Physical Information: 0.53" H x 7" W x 9.19" (0.90 lbs) 250 pages |
Descriptions, Reviews, Etc. |
Publisher Description: With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. You'll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way. Author Seth Weidman shows you how neural networks work using a first principles approach. You'll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a thorough understanding of how neural networks work mathematically, computationally, and conceptually, you'll be set up for success on all future deep learning projects. This book provides:
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Contributor Bio(s): Weidman, Seth: - Seth Weidman is a data scientist who has applied and taught machine learning concepts for several years. He started out as the first data scientist at Trunk Club, where he built lead scoring models and recommender systems, and currently works at Facebook, where he builds machine learning models for their infrastructure team. In between he taught data science and machine learning for the bootcamps and on the corporate training team at Metis. He is passionate about explaining complex concepts simply, striving to find the simplicity on the other side of complexity. |