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Results tagged with neural-networks
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user 31632
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.
3
votes
Accepted
How is back-propagation useful in neural networks?
The method you propose is already known, its basically a numerical approximation to the gradient. It is not used to train neural networks because its well... an approximation. You still need to do two …
- 1,355
1
vote
How are gradients of individual layers computed?
The gradient that we use to train neural networks is the gradient of the loss function with respect to the parameters of each layer.
The parameters usually form a very large vector, concatenating the …
- 1,355
1
vote
Accepted
Which loss / activation function with 2 classes that do not occur often and do not sum to one?
This is multi-label classification, which means you have two binary classification problems, one for each of your classes. This is different than multi-class classification.
For this use binary cross- …
- 1,355
2
votes
Accepted
How to tackle the human error made in labeling datasets for classification tasks like facial...
In general the only way to deal with this is by quantifying these labeling mistakes in the output of the model, since the model will learn for them. And in many cases these are not really mistakes, bu …
- 1,355
3
votes
Accepted
Is Diffusion model instable during the training?
This is (mostly) because of random weight initialization, each time you instance your model, starting weights are different, and during training the model weights converge to a different local minima. …
- 1,355
1
vote
Accepted
Is it possible to train a neural network or a classifier on SIFT keypoints and descriptors?
Yes, it is possible. You just need to make sure that the feature vectors/descriptors have the same size, as neural networks and other ML methods require you to fixed size features, they cannot be vari …
- 1,355
9
votes
Why don't OpenAI train a deep learning model to identify correct and incorrect information i...
You are massively underestimating the difficulty of the task, you would need:
A dataset containing labels of correct/incorrect, at a similar scale (billions of data points).
A definition of correct/i …
- 1,355