THE VIDEO SHELF · practical deep learning
Practical Deep Learning for Coders: Lesson 1
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 HN readers recommended it
HN considers the course one of the best hands-on ways into deep learning, praising the code-first teaching style.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Jeremy Howard
- Topic
- practical deep learning
- Format
- course
- Level
- intro
- HN recommenders in dataset
- 2
- HN mentions in dataset
- 3
- Recommendation years in dataset
- 2022–2023
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
Practical deep learning for coders (2022 edition) By Jeremy, who is the founding researcher at fast.ai. Three things I love about this series 1. Jeremy seems like a power user of Jupyter notebook and uses them beautifully to run the lectures. The book on fastai …
ujjwalgrover on Hacker News · 2023-01
In Ask HN: What's the best lecture series you've ever seen?I'm super excited about the Audio AI space, as it seems permanently a few years behind image stuff - so I think we're going to see a lot more of this. If you're interested, the idea of applying Image processing techniques to Spectrograms of audio …
superpope99 on Hacker News · 2022-12
In Riffusion – Stable Diffusion fine-tuned to generate Music
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.