Ameba Ownd

アプリで簡単、無料ホームページ作成

ychasudyknib's Ownd

[Pdf/ePub] Deep Learning for Coders with fastai

2022.02.23 15:45

Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD by Jeremy Howard, Sylvain Gugger

Download free epub book Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD

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

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




Download free epub book Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD

Overview

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 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

Download more ebooks: MEMORIAS DUN NENO LABREGO EBOOK | XOSE NEIRA VILAS | Descargar libro PDF EPUB download pdf, DOWNLOAD [PDF] {EPUB} Win Bigly: Persuasion in a World Where Facts Don't Matter download pdf, DOWNLOADS NKJV, Reference Bible, Super Giant Print, Leathersoft, Blue, Red Letter, Comfort Print: Holy Bible, New King James Version site,