Weidman, Seth
Deep Learning from Scratch: Building with Python from First Principles
- ISBN 13:
- 9781492041412
- author:
- Weidman, Seth
- format:
- Paperback / softback
- publisher:
- O'Reilly UK Limited
- language:
- English
- Publication Year:
- 2019
- Pages:
- 250
- Dimensions:
- 23.3 x 17.8 centimetres (0.44 kg
- Genre:
- Computers, Graphics & Design, Computers,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Deep Learning from Scratch: Building with Python from First Principles by Seth Weidman provides a comprehensive introduction to deep learning for data scientists and software engineers with machine learning experience. You'll start with the basics of neural networks and progress to advanced architectures, implementing each concept from scratch using Python. This book offers clear mental models, accompanied by working code examples and mathematical explanations, to help you understand how neural networks work mathematically, computationally, and conceptually. You'll learn how to implement multilayer neural networks, convolutional neural networks, and recurrent neural networks, as well as apply these concepts using the popular PyTorch framework. With a thorough understanding of neural networks, you'll be set up for success on all future deep learning projects. This book is ideal for those looking to build their skills in deep learning from first principles.
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