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Results tagged with neural-network
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user 50534
Artificial neural networks (ANN), are composed of 'neurons' - programming constructs that mimic the properties of biological neurons. A set of weighted connections between the neurons allows information to propagate through the network to solve artificial intelligence problems without the network designer having had a model of a real system.
1
vote
Accepted
Suspected Exploding Gradient in Character Generator LSTM
Exploding gradients are very common with LSTMs and recurrent neural networks because when unfold, they translate in very deep fully connected networks (see the deep learning book and more particularly …
- 1,339
2
votes
ValueError: Error when checking input: expected conv2d_13_input to have shape (3, 150, 150) ...
Change this:
model.add(Conv2D(32, (3, 3), input_shape=(3, 150, 150),padding='same'))
to this:
model.add(Conv2D(32, (3, 3), input_shape=(150, 150, 3),padding='same'))
And read the doc: https://ke …
- 1,339
1
vote
Accepted
Batch data before feed into CNN network
It's is a good practice to use batches to train neural networks. As Yann LeCun said:
Training with large minibatches is bad for your health. More
importantly, it's bad for your test error. Fri …
- 1,339
37
votes
Accepted
Early stopping on validation loss or on accuracy?
TLDR; Monitor the loss rather than the accuracy
I will answer my own question since I think that the answers received missed the point and someone might have the same problem one day.
First, let me …
- 1,339
49
votes
4
answers
35k
views
Early stopping on validation loss or on accuracy?
I am currently training a neural network and I cannot decide which to use to implement my Early Stopping criteria: validation loss or a metrics like accuracy/f1score/auc/whatever calculated on the val …
- 1,339
1
vote
How to change parameters in LSTM for multivariate binary classification time series?
The sigmoid activation gives you a number between 0 and 1 (you can consider it as the probability of item i to be of class 1). To get hard predictions (0s and 1s) you just use a rule that says "I cons …
- 1,339
0
votes
Why does tanh activation work better with Pytorch than with Keras?
What is create_activation_function doing and why not use keras.activations.tanh(x)?
How do you train the PT model? You also use early stopping and reduce lr on plateau? if not, remove it in the TF c …
- 1,339