Awesome Open Source
Awesome Open Source


This repository will contain my take on Andrew Trask's book GrokkingDeepLearning.

The way you should go about fidgeting the repository:

  1. Forward Propagation
  2. Gradient Descent (which also takes into account the learning concept in the neural network)
  3. Generalizing Gradient Descent
  4. MNIST dataset with weight visualization
  5. MNIST dataset with weight visualization using Keras
  6. StreetLight Problem, introducing the concept of input to output correlation
  7. Streetlight Problem, making an intermediate layer for a Deep Neural Network.
  8. Convolution as a structure to reuse weights
  9. Convolutional Neural Network
  10. Sentiment analysis using the IMDB Review DATASET
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