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Deep-Learnig

2020 COSE474

hw1

linear regression

hw2

  1. k-nearest neighbors
  2. SVM-loss classifier
  3. softmax classifier

hw3 (numpy)

2-layer neural network

hw4 (numpy)

  1. CNN
  2. mnist train set

hw5 (numpy)

Implement a neural network classifier for MNIST dataset.

  1. forward
  2. backprop
  3. update weights

hw6 (pytorch)

Implement a classifier for CIFAR-10 dataset using pytorch

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