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Neural Networks

Shallow and deep learning with neural networks (NNs) and deep neural networks (DNNs). NN and DNN training with gradient descent (stochastic, mini batch) and backpropagation algorithms. Convolutional and recurrent neural networks and modern applications.

  • Traffic: Identify which traffic sign appears in a photograph.

python traffic.py gtsrb