You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
i dont know if its right but logically you can do this:
feature=dbn.transform(data)
reconstructed=copy.copy(feature)
for i in range(len(dbn.rbm_layers),0,-1):
reconstructed = dbn.rbm_layers[i-1]._reconstruct(reconstructed)
I have fitted and transformed an model as:
X_feature = unsupervised_dbn.fit_transform(X)
How can I inverse transform the X_feature to get the reconstructed X_re?
The text was updated successfully, but these errors were encountered: