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Results tagged with neural-networks
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user 112553
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.
10
votes
1
answer
17k
views
Deep Learning : Using dropout in Autoencoders?
I am working with autoencoders and have few confusions, I am trying different autoencoders like:
fully_connected autoencoder
convolutional autoencoder
denoising autoencoder
I have two datasets, o …
- 333
9
votes
What loss function for multi-class, multi-label classification tasks in neural networks?
I was going through same problem, After some research here is my solution:
If you are using tensorflow :
Multi label loss:
cross_entropy = tf.nn.sigmoid_cross_entropy_with_logits(logits=logits, …
- 333
2
votes
1
answer
3k
views
Adding random noise to latent representation increase the accuracy in the autoencoder
I am working on an autoencoder project, it consists of dense layers like this :
dense ([10, 756] )--> dense ( [10, 512] ) --> latent ( [ 10, 256] ) --> dense ( [10, 512] ) --> dense ([10, 756])
Thi …
- 333