Description
Book Synopsis: Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications.
Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes.
- 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.
Details
Unlock the power of deep learning with the groundbreaking book, "Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD"! Wave goodbye to the misconception that deep learning is only for math geniuses and tech giants. This hands-on guide is designed for Python programmers without extensive math backgrounds, empowering them to achieve remarkable results in deep learning with ease.
With the help of fastai, the first-ever library to provide a consistent interface to the most widely-used deep learning applications, authors Jeremy Howard and Sylvain Gugger lead you through an immersive journey of training models for various tasks using fastai and PyTorch. From computer vision to natural language processing, tabular data to collaborative filtering - this book covers it all.
Not only will you gain practical skills in implementing the latest deep learning techniques, but you'll also deepen your understanding of the algorithms working behind the scenes. Improve the accuracy, speed, and reliability of your models as you unravel the secrets of deep learning. Transform your models into powerful web applications, and witness the ethical implications of your work with a comprehensive exploration of the subject.
Don't miss out on this invaluable resource, featuring an inspiring foreword by PyTorch cofounder, Soumith Chintala. Take charge of your journey into deep learning today and unleash your coding potential. Get your copy now!
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