Content of data/ in top directory about libsdae-autoencoder-tensorflow

[erlebach]

More serious question: I took the example test.py provided, and replace the "linear" activations by relu activations. Result: I printed x[i] at the end of the fit() function. All x[i] were identical. This was not the case with the linear activation function. Why would this be? Thanks.

Try running test.py with:

model = StackedAutoEncoder(dims=[200, 200], activations=['relu', 'relu'], epoch=[
3000, 3000], loss='rmse', lr=0.007, batch_size=100, print_step=200)

Gordon

[rajarsheem]

Hey, I am sorry for replying so late. Is the issue still there?

[lenghanyan]

Hey,how can this program display the extracted feature images?