Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Deep Learning from Scratch: Building with Python from First Principles

Deep Learning from Scratch: Building with Python from First Principles

Weidman, Seth

Paperback

DatabasesGeneral Computers

Publisher Price: $65.99

ISBN10: 1492041416
ISBN13: 9781492041412
Publisher: Oreilly Media
Published: Oct 15 2019
Pages: 250
Weight: 0.90
Height: 0.53 Width: 7.00 Depth: 9.19
Language: English

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

Also in

General Computers

View All