/deep_learning

Exercises from the course cs231n : visual recognition from Stanford. Implementation of FC NN and CNN (~from scratch using numpy) and using TensorFlow

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deep_learning

Exercises from the course cs231n : visual recognition from Stanford. Implementation of FC NN and CNN using numpy

Find course notes and assignments here : https://cs231n.github.io/

Assignment 1:

  • Q1: k-Nearest Neighbor classifier. (Done)
  • Q2: Training a Support Vector Machine. (Done)
  • Q3: Implement a Softmax classifier. (Done)
  • Q4: Two-Layer Neural Network. (Done)
  • Q5: Higher Level Representations: Image Features. (Not Done)

Assignment 2:

  • Q1: Fully-connected Neural Network. (Done)
  • Q2: Batch Normalization. (Not Done)
  • Q3: Dropout. (Not Done)
  • Q4: Convolutional Networks. (Done)
  • Q5: PyTorch / TensorFlow on CIFAR-10. (Done)