Coding Neural networks

 

Examples for coding complete NN in Python

  • I am trask blog – incudes NN basics, backpropagation, gradient descent, dropout, LSTM-RNN. Short examples with explanatory purposes. Do not aim at writing complete NN implementation
  • Training (deep) neural network – blog post by Upul Bandarea. Usethe MNIST data set for recognizing handwritten digits.
  • Neural networks and deep learning – hand-on book by Michael Nielesen which works on recognizing handwritten digits.
  • CS231n – CNN (Stanford course) – Good course notes in here. It is possible to use the ipython notebooks to do the programming assignments. The code use CIFAR classification problem and gives a lot of pre-written code, e.g. to read and display the data sets. The coding include writing specific parts of the code focusing on efficient vectorized implementation.

Deep learning SW libraries

Deep learning libraries.

 

  • TensorFuse – Common interface to Theano, CGT, TensorFlow, and mxnet