https://mithi.github.io/deep-blueberry/

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
https://mithi.github.io/deep-blueberry/

computer-vision convolutional-neural-networks deep-learning deep-learning-algorithms deep-learning-tutorial deep-neural-networks deep-reinforcement-learning generative-adversarial-network keras-tensorflow long-short-term-memory machine-learning machine-learning-algorithms pytorch-implementation pytorch-tutorial recurrent-neural-networks reinforcement-learning variational-autoencoder

Last synced: about 2 months ago
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If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

• Host: GitHub
• URL: https://mithi.github.io/deep-blueberry/
• Owner: mithi
• Created: 2019-06-15T13:30:15.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-08-10T12:37:09.000Z (over 4 years ago)
• Last Synced: 2024-05-22T01:11:20.596Z (7 months ago)
• Topics: computer-vision, convolutional-neural-networks, deep-learning, deep-learning-algorithms, deep-learning-tutorial, deep-neural-networks, deep-reinforcement-learning, generative-adversarial-network, keras-tensorflow, long-short-term-memory, machine-learning, machine-learning-algorithms, pytorch-implementation, pytorch-tutorial, recurrent-neural-networks, reinforcement-learning, variational-autoencoder
• Homepage: https://mithi.github.io/deep-blueberry/
• Size: 690 KB
• Stars: 25
• Watchers: 2
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• -awesome-artificial-intelligence - Deep Blueberry: Deep Learning book - A free five-weekend plan to self-learners to learn the basics of deep-learning architectures like CNNs, LSTMs, RNNs, VAEs, GANs, DQN, A3C and more (Courses)

README

        
# [Deep Blueberry Book](https://mithi.github.io/deep-blueberry/)

- :heart: https://mithi.github.io/deep-blueberry/

- A curated collection of places where you can learn about deep-learning

- If you've always wanted to learn about deep-learning but don't know where to start,

then you might have stumbled upon the right place!

## Optional

- `19 min` `2019-Sep` [Brandon Rohrer: How Backpropagation Works](https://youtu.be/6BMwisTZFr4)

- `16 min` `2019-Jul` [Back Propagation in Neural Network with an Example](https://www.youtube.com/watch?v=GJXKOrqZauk)

- `2016-Dec` [Andrej Karpathy: Yes you should understand Backprop](https://medium.com/@karpathy/yes-you-should-understand-backprop-e2f06eab496b)

- `2018-May` `10 min`  [Aadil Hayat, Dillon: Building a simple Generative Adversarial Network (GAN) using TensorFlow](https://blog.paperspace.com/implementing-gans-in-tensorflow/)

# :heart: https://mithi.github.io/deep-blueberry/