Our reading notes

Practical Deep Learning for Coders

A free, code-first deep-learning course covering vision, language, tabular models, and deployment. A useful hands-on route for an engineering leader returning to ML.

What to look for

  1. 01

    The first part uses practical examples before introducing the underlying mathematics.

  2. 02

    Lessons link to notebooks, a free companion book, and a learner forum.

Keep in mind

The listed part-one course was recorded in 2022. Check current notebook dependencies and hosting limits before a team workshop.

Put it to work

Try this next

Work through the first lesson with a small, non-sensitive dataset and discuss where model evaluation differs from ordinary software testing.

Get the data template

Notes and exercises by Awesome CTO. The original work belongs to fast.ai.

Work through the bigger question.

Our data guide connects the reading to a practical approach and a template.

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