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Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD

Name: Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD
Price: 36.57 USD
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Rating: 4.7 (490 reviews)

4.70 of 5 Stars: Databases & Big Data - Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD

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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 filteringLearn the latest deep learning techniques that matter most in practiceImprove accuracy, speed, and reliability by understanding how deep learning models workDiscover how to turn your models into web applicationsImplement deep learning algorithms from scratchConsider the ethical implications of your workGain insight from the foreword by PyTorch cofounder, Soumith Chintala Read more

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Unlock the power of deep learning without needing a PhD in math! Dive into the world of AI applications with "Deep Learning for Coders with fastai and PyTorch" and discover how Python programmers can achieve remarkable results with minimal effort. Whether you're a seasoned developer or just starting out, this hands-on guide will equip you with the tools and knowledge you need to succeed in deep learning.

Written by the renowned authors Jeremy Howard and Sylvain Gugger, the masterminds behind fastai, this book will take you on a journey through the fundamentals of deep learning theory and practical applications. With a focus on computer vision, natural language processing, tabular data, and collaborative filtering, you'll learn the latest techniques that are essential for success in the field.

Enhance the accuracy, speed, and reliability of your models by gaining a deeper understanding of how deep learning algorithms work. From implementing algorithms from scratch to building web applications, this book covers it all. Plus, with insights from PyTorch cofounder Soumith Chintala in the foreword, you'll be guided by industry experts every step of the way.

Are you ready to take your coding skills to the next level and unleash the potential of deep learning? Don't miss out on this opportunity to revolutionize your approach to AI applications. Get your copy of "Deep Learning for Coders with fastai and PyTorch" today!

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