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Results tagged with neural-networks
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user 276536
Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.
4
votes
How do I intentionally design an overfitting neural network?
Here are some things that I think might help.
If you are free to change the network architecture try using a large but shallower network. Layers help a network learn higher level features and by the …
- 261
3
votes
0
answers
2k
views
Why not to initialize a neural network's weights to zero? [duplicate]
The notes for Stanford's online course on CNN's mention not to initialize all the weights to zero, because:
… if every neuron in the network computes the same output, then they will also all compu …
- 261
1
vote
0
answers
259
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Initializing network weights to zero
Since my last question on the topic I have tried searching on my own how zero weight initialization impedes learning but I can't quite seem to wrap my head around the concept. The CS231n course notes …
- 261
8
votes
3
answers
3k
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Overlap-tile strategy in U-Nets
I was reading the U-Nets paper and there is a mention of some "overlap-tile strategy" in it that I am not quite familiar with. Here is the paragraph from the paper where it has been introduced:
What …
- 261