Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD
Best Deep Learning Book. Deep Learning for Coders with Fastai and PyTorch. The creators of fastai, Jeremy Howard and Sylvain Gugger, show how to use fastai and PyTorch to train a model for a variety of problems.
Deep learning is often considered the exclusive domain of PhDs and large tech companies. However, as this how-to guide shows, programmers familiar with Python can achieve impressive results in deep learning with less experience, less data, and minimal code. how? Fastai is the first library to provide a consistent interface to the most commonly used deep learning applications.
Deep Learning for Coders with Fastai and PyTorch
AI Applications Without a PhD
1st Edition
The creators of fastai, Jeremy Howard and Sylvain Gugger, show how to use fastai and PyTorch to train a model for a variety of problems. We will also dig deeper and deeper into deep learning theory to get a complete understanding of the hidden algorithms.
This book covers
- Train models in computer vision, natural language processing, tabular data, and collaborative filtering
- Learn the latest deep learning techniques that matter most in practice
- Improve accuracy, speed, and reliability by understanding how deep learning models work
- Discover how to turn your models into web applications
- Implement deep learning algorithms from scratch
- Consider the ethical implications of your work
- Gain insight from the foreword by PyTorch cofounder, Soumith Chintala.