hackertube.io

Practical Deep Learning for Coders: Lesson 1

Jeremy Howard · course · Watch on YouTube

Machine learning & deep learningComputer vision, speech & NLPUniversity lectures & courses

What it is

Lesson 1 of fast.ai's Practical Deep Learning for Coders, taught by Jeremy Howard. It takes coders from running code in a Jupyter notebook straight into training a real image model.

Why Hacker News recommends it

HN considers the course one of the best hands-on ways into deep learning, praising the code-first teaching style.

  • 2 people recommended it
  • 2 different months
  • 1 strong recommendations
  • first 2022, last 2023

What HN commenters said

  1. “The lectures are super hands on - Jeremy actually fires up a jupyter notebook and runs code which often surprises him”

    Hands-on lectures run in Jupyter, with Kaggle deep dives.

    ujjwalgrover, 2023-01 · Strong recommendation · in “Ask HN: What's the best lecture series you've ever seen?”

  2. “one of the most recommended AI courses on HN”

    First lesson covers image techniques applied to audio spectrograms.

    superpope99, 2022-12 · Recommendation · in “Riffusion – Stable Diffusion fine-tuned to generate Music”

Excerpts from Hacker News comments, linked to the originals. Summaries and labels were written by a language model from those comments.

Topics: fast.ai, jeremy howard, pytorch, jupyter, image classification

Also recommended by the same people