Deep learning for coders with fastai and PyTorch: AI apps without a PhD - the book and the course. How do I start? Is this course for me? ... Since the most important thing for deep learning learning is writing code and experimenting, it`s important that you have a great platform for experimenting with code.


Deep Learning For Coders With Fastai And Pytorch How to Build a Website
Fastai is the first library to provide consistent access to commonly used deep learning applications.

The authors of this book (which can be downloaded here, who are also the creators of the library, teach readers to use PyTorch and fastai.

Using this book, you will be able to:

  • Train models of computer vision, natural language processing;
  • Take advantage of the most useful deep learning practices;
  • Improve the accuracy, speed and reliability of models;
  • Include your models in web applications.

Advantages: Relevance of the material; Good authoring style.

Deep Learning has a reputation as an exclusive field, accessible to those with at least a PhD in mathematics. This is not true. With this book, Python programmers can get started with deep learning right away. Using PyTorch and the fastai library, you will learn how to train a model for a wide range of problems, including computer vision, natural language processing, tabular data, and generative networks. At the same time, you will gradually delve deeper into deep learning theory so that by the end of the book you have a complete understanding of the mathematics behind the library functions.

Deep Learning For Coders With Fastai And Pytorch

The authors have released a 570-page book "Deep Learning for Coders with fastai and PyTorch", which contains course material, including that which will be included in the second part. You can buy the book on Amazon or get it for free here.

The only requirement for students to complete the tutorial is a school base in mathematics and a year of programming experience in Python.

In addition, a new version of the fastai library has been released, as well as the fastcore, fastscript and fastgpu libraries for programmers and data scientists.

About FastAI

Last week, the Fast.AI team launched a new Practical Data Ethics course on data ethics.

In general, fast ai is primarily a group of researchers dealing with artificial intelligence and deep learning in particular, which released the library of the same name for free use in 2018. In simple words - fast ai is an add-on over the pytorch framework mentioned above and makes it easier to work with it, it makes it faster. Hence the word "quickly" in the title of the article. is a non-profit research group focused on deep learning and artificial intelligence. The group was founded in 2016 by Jeremy Howard and Rachel Thomas with the goal of demonstrating deep learning. They did this by creating a massive open online course (MOOC) called Practical Deep Learning for Coders.