Hi Everyone, I am trying to build a cnn based in imagenet. The paper which I am following sais that the architecture is formed by convolutional layers and fully connected layers, and in the last layer, i.e. output layer is followed by softmax. Then, it sais that after extracting the features from the last fully connected layer, uses a SVM as a classifier.
I do not know if the input of the classifier is the output of the softmax. And I thought that the softmax was a classifier, and I must be wrong Regards. -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to theano-users+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
