DeepCCA
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VahidooX
An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.
when I run deepcca.py ,error occurred about model.fit() ``` model.fit([train_set_x1, train_set_x2], np.zeros(len(train_set_x1)), batch_size=batch_size, epochs=epoch_num, shuffle=True, validation_data=([valid_set_x1, valid_set_x2], np.zeros(len(valid_set_x1))), callbacks=[checkpointer]) ValueError: ('Error when checking model target: expected no data, but got:',...
Hi, thank you for this implementation! While I was reading your code ,I noticed that the definition of topk loss function and all singular value loss function are not consistant....
I am trying to use this for a dataset of my own - VGG-fc8 features and GLoVE embeddings. However, when I add a regularization parameter, the loss quickly goes to...
hi, thank you for this implementation... i was wondering - i saw that in your code you took 10 dimensions for the mnist, while in the paper they took 50...
Hi there.. This is a very great code base. It all just WORKS. Good job. I am interested in your thoughts about the objective function, however. Is such a complicated...
I am getting the following error. can someone help me to resolve the issue Traceback (most recent call last): File "/home2/anuprabha.m/kesav/DeepCCA/DeepCCA.py", line 10, in from utils import load_data, svm_classify File...
