Synopsis
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. Youâ??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. Youâ??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, youâ??ll be set up for success on all future deep learning projects.
This book provides:
- Extremely clear and thorough mental modelsâ??accompanied by working code examples and mathematical explanationsâ??for understanding neural networks
- Methods for implementing multilayer neural networks from scratch, using an easy-to-understand object-oriented framework
- Working implementations and clear-cut explanations of convolutional and recurrent neural networks
- Implementation of these neural network concepts using the popular PyTorch framework
"synopsis" may belong to another edition of this title.
About the Author
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.
"About this title" may belong to another edition of this title.
Search results for Deep Learning from Scratch: Building with Python from...
Seller Image
Deep Learning from Scratch: Building with Python from First Principles
Seller: Dream Books Co., Denver, CO, U.S.A.
Seller rating 5 out of 5 stars
Condition: good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly! Seller Inventory # DBV.1492041416.G
Stock Image
Deep Learning from Scratch: Building with Python from First Principles
Seller: HPB-Red, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_450649965
Stock Image
Deep Learning from Scratch : Building with Python from First Principles
Published by
O'Reilly Media, Incorporated, 2019
ISBN 10: 1492041416
ISBN 13: 9781492041412
Used
Softcover
Seller: Better World Books: West, Reno, NV, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages. Seller Inventory # 51485239-75
Stock Image
Deep Learning from Scratch Bui
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Seller Inventory # 00081365218
Seller Image
Deep Learning from Scratch : Building with Python from First Principles
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 35450219-n
Stock Image
Deep Learning from Scratch: Building with Python from First Principles
Seller: Lakeside Books, Benton Harbor, MI, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books! Seller Inventory # OTF-S-9781492041412
Seller Image
Deep Learning from Scratch: Building with Python from First Principles (Paperback or Softback)
Published by
O'Reilly Media 10/1/2019, 2019
ISBN 10: 1492041416
ISBN 13: 9781492041412
New
Paperback or Softback
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Seller rating 5 out of 5 stars
Paperback or Softback. Condition: New. Deep Learning from Scratch: Building with Python from First Principles. Book. Seller Inventory # BBS-9781492041412
Stock Image
Deep Learning from Scratch: Building with Python from First Principles
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Mar2716030177647
Seller Image
Deep Learning from Scratch : Building with Python from First Principles
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 35450219
Seller Image
Deep Learning from Scratch
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: New. 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:Extremely clear and thorough mental models-accompanied by working code examples and mathematical explanations-for understanding neural networksMethods for implementing multilayer neural networks from scratch, using an easy-to-understand object-oriented frameworkWorking implementations and clear-cut explanations of convolutional and recurrent neural networksImplementation of these neural network concepts using the popular PyTorch framework. Seller Inventory # LU-9781492041412