New answers tagged multilayer-perceptrons
0
votes
How to decode P bits that represent a random weight generator?
I don't understand why they say with $P$ bits, there's $2*P$ combinations, wouldn't it be $2^P$?
I think you are correct here, and would suspect a typesetting issue or typo. I also think that 2Q ...
0
votes
Rank of gradient-of-loss with respect to layer weights in an MLP
I didn't find the reference in the Goodfellow deep learning book. But here is how I derived it. Let all vectors be column vectors.
The basic claim is that $\nabla_W F(u^\top W) = \nabla F(v^\top) u^\...
Top 50 recent answers are included
Related Tags
multilayer-perceptrons × 68neural-networks × 34
machine-learning × 12
deep-learning × 11
feedforward-neural-networks × 10
convolutional-neural-networks × 7
comparison × 5
keras × 5
recurrent-neural-networks × 5
long-short-term-memory × 5
backpropagation × 5
perceptron × 5
universal-approximation-theorems × 4
classification × 3
terminology × 3
papers × 3
autoencoders × 3
regression × 3
overfitting × 3
artificial-neuron × 3
hidden-layers × 3
activation-functions × 3
tensorflow × 2
training × 2
reference-request × 2