DeepCCA

fork from (https://github.com/shamidreza/deepcca)

A python code for deep canonical correlation analysis (dcca) written using numpy

Requirements:
1- numpy
2- theano

Datasets:

• Mnist halves:

  Built from data/mnist.pkl.gz (link)

• Mnist same digit

  Built in cca_linear.py

Tutorials:

dA.py : denoising autoencoder

sdAE.py : Stacking denoising AE

mlp.py : standard Multi-layer perceptron

my_sda.py : Modified deepCCA (that actually works!)