Jump to content
Sign in to follow this  
tao

Adventures in deep learning

Recommended Posts

tao
Posted (edited)

Fast.ai - Part 1 - Lesson 1 - Annotated notes

 

Building a world class image classifier with three lines of Python code

 

The first lesson gives an introduction into the why and how of the fast.ai course, and you will learn the basics of Jupyter Notebooks and how to use the fast.ai library to build a world-class image classifier in three lines of Python.

 

You will get a feel for what deep learning is and why it works, as well as possible applications you can build yourself.

Introduction

These are my annotated notes from the first lesson of the first part of the Fast.ai course. I’m taking the course for a second time, which means I’m re-watching the videos, reading the papers and making sure I am able to reproduce the code. As part of this process I’m writing down more detailed notes to help me better understand the material. Maybe they can be of help to you as well.

Lesson takeaways

By the end of the lesson you should know/understand

Table of Contents

 

If interested, please take the course < here >.

Edited by tao

Share this post


Link to post
Share on other sites

Create an account or sign in to comment

You need to be a member in order to leave a comment

Create an account

Sign up for a new account in our community. It's easy!

Register a new account

Sign in

Already have an account? Sign in here.

Sign In Now
Sign in to follow this  

  • Recently Browsing   0 members

    No registered users viewing this page.

×