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For questions about artificial networks, such as MLPs, CNNs, RNNs, LSTM, and GRU networks, their variants or any other AI system components that qualify as a neural networks in that they are, in part, inspired by biological neural networks.

0 votes
0 answers
26 views

What is the logic behind using a trained classifier's gradients to synthesize controllable i...

In the controllable image synthesis, we are manipulating a noise vector z such that our generator ( in our GAN model ) creates images that the desired feature exists. For instance, take the feature of …
levitatmas's user avatar
1 vote
1 answer
532 views

How do neural networks learn specific features throughout the layers?

I was reading about convolutional neural networks and I came across such an explanation: Consider detecting features in human face. The earlier layers of neural networks learn coarse features such as …
levitatmas's user avatar
2 votes
1 answer
778 views

Why cannot linear activation functions be used to approximate any function?

In neural networks we use nonlinear activation functions such as sigmoid, ReLU, etc. Using a combination of these functions (with required scaling and shifting), we manage to estimate any nonlinear fu …
levitatmas's user avatar