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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

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My Google Colab notebooks for studying Deep Learning

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[![Made With Love](https://img.shields.io/badge/Made%20With-Love-red.svg)](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)