https://github.com/lifeisbeautifu1/deep-learning
My Google Colab notebooks for studying Deep Learning
https://github.com/lifeisbeautifu1/deep-learning
ai computer-vision convolutional-neural-networks data-science deep-learning deep-neural-networks difussion machine-learning neural-network notebook python pytorch tensorflow text-to-image
Last synced: about 2 months ago
JSON representation
My Google Colab notebooks for studying Deep Learning
- Host: GitHub
- URL: https://github.com/lifeisbeautifu1/deep-learning
- Owner: lifeisbeautifu1
- Created: 2023-08-06T04:02:20.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-04-13T18:30:38.000Z (about 2 years ago)
- Last Synced: 2025-06-18T22:44:52.723Z (about 1 year ago)
- Topics: ai, computer-vision, convolutional-neural-networks, data-science, deep-learning, deep-neural-networks, difussion, machine-learning, neural-network, notebook, python, pytorch, tensorflow, text-to-image
- Language: Jupyter Notebook
- Homepage:
- Size: 18 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
[](https://github.com/lifeisbeautifu1)
## Here's the list of useful notebooks i've created to learn Deep Learning
This repo consist of Google Collab notebooks i've made from videos/books.
### List of resources i've used to learn:
* [Neural Network and Deep Learning book by Michael Nielsen](http://neuralnetworksanddeeplearning.com/index.html)
* [Deep Learning book by Nikolenko](https://habr.com/ru/companies/piter/articles/346358/)
* [Deep Learning book by Ian Goodfellow](https://www.deeplearningbook.org/)
* [3Blue1Brown NN playlist](https://www.youtube.com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi)
* [Andrej Karpathy](https://www.youtube.com/@AndrejKarpathy)
* [StatQuest](https://www.youtube.com/@statquest)
* [PyTorch course from Daniel Bourke](https://www.learnpytorch.io/)
* [TensorFlow course from Daniel Bourke](https://dev.mrdbourke.com/tensorflow-deep-learning/)
* [Stanford Lectures](https://www.youtube.com/watch?v=NfnWJUyUJYU&list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC)
* [MIT Lectures](https://www.youtube.com/watch?v=QDX-1M5Nj7s&list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI)
* [Computerphile](https://www.youtube.com/@Computerphile/featured)
* [freeCodeCamp](https://www.youtube.com/@freecodecamp/videos)
* [Outlier youtube](https://www.youtube.com/@outliier/videos)