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Practical Deep Learning for Coders
A top-down course that has you training and deploying working models in the first lesson, then opens them up: neural net foundations, NLP, random forests, collaborative filtering and CNNs.
8 video lessons · 12 h 34 min · taught by Jeremy Howard
Lesson 1 of 8 · 1 h 23 min
Lesson 1 · Getting started
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Course quiz
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What you will learn
- Train state-of-the-art image and text models with fastai and PyTorch
- Deploy a model as a web app
- Build a neural network from scratch and explain each part
- Choose between deep learning and tree-based models for tabular data
Before you start
- Prerequisites
- About a year of coding, ideally Python, and high-school maths.
- Cost
- Free. The accompanying book is also free online.
Videos are embedded from fast.ai’s own channel and remain theirs. The quiz is written by MTT to help you check your understanding; it is not an official fast.ai assessment.