project awesome

Deep Blueberry: Deep Learning

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 (2019)

Package 26 stars GitHub

Deep Blueberry Book

: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
16 min 2019-Jul Back Propagation in Neural Network with an Example
2016-Dec Andrej Karpathy: Yes you should understand Backprop
2018-May 10 min Aadil Hayat, Dillon: Building a simple Generative Adversarial Network (GAN) using TensorFlow

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

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