New answers tagged cnn
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CNN training accuracy flatlines
the performance of the model depends on the data, but I see a few snags in your approach you might try to change:
normalization - you didn't use any normalization. You might try to interpose ...
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Accepted
Why Relu is correct for CNN?
Thanks for your answer. I watched this nice guy to understand the concept of CNN and its backprop. I watched more carefully this - video and found out the answer to my problem. He said that there is a ...
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Why Relu is correct for CNN?
I think you're confused about a lot of concepts here.
First an empirical example:
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Why Relu is correct for CNN?
Welcome to the DataScience stack exchange. ReLu is not "correct" or "incorrect" but it is just one of several popular choices for a nonlinearity in neural networks.
It sounds like ...
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What may cause the CNN layer weight regularizer to reduce the model accuracy
In general, I stumbled across voices in literature that we shouldn't use dropout with such a big parameter for shallow networks, as it can violate their capabilities.
Example:
Piotrowski, A. P., ...
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How do I get my Neural network to ignore certain values?
My experience - I struggled with a similar issue some time ago in a different problem, where I wanted my network to ignore part of the input data. I tried a few approaches: setting a constant small ...
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Converting a Standard LSTM RNN over to a Transformer Model
With a bit of elastic net, dynamic gradient clipping and adjustments to the transformer model build training is progressing nicely now.
Here is the build that fixed it:
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