Journey through the theory and practice of modern deep learning, and apply innovative techniques to solve everyday data problems.
If you want to learn some of the deeper explanations of deep learning and PyTorch then read this book!
In Inside Deep Learning
, you will learn how to:
Inside Deep Learning
- Implement deep learning with PyTorch
- Select the right deep learning components
- Train and evaluate a deep learning model
- Fine tune deep learning models to maximize performance
- Understand deep learning terminology
- Adapt existing PyTorch code to solve new problems
is an accessible guide to implementing deep learning with the PyTorch framework. It demystifies complex deep learning concepts and teaches you to understand the vocabulary of deep learning so you can keep pace in a rapidly evolving field. No detail is skipped—you’ll dive into math, theory, and practical applications. Everything is clearly explained in plain English.