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Results tagged with deep-learning
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user 50534
a new area of Machine Learning research concerned with the technologies used for learning hierarchical representations of data, mainly done with deep neural networks (i.e. networks with two or more hidden layers), but also with some sort of Probabilistic Graphical Models.
2
votes
Seemingly good results with training a CNN but bad when testing
You model might just overfit. This is a classical case with neural networks. It means that your model is very good on training data but performs poorly on testing data, i.e. it is very bad at generali …
- 1,349
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 …
- 1,349
1
vote
Which courses should I take in order to learn ML and AI?
In my opinion, start with:
Coursera's Andrew Ng's classes
Machine Learning (very good for the maths)
then go to his deep learning class (I haven't done it but I only hear good things from it)
Uda …
- 1,349
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 …
- 1,349
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 …
- 1,349
0
votes
A way to init sentence embedding for unsupervised text clustering, better than glove wordvec?
Generally, combining word vectors in a single sentence / document representation does not work extremely well, although the average embedding has been used in fastText and pooling in this paper.
You c …
- 1,349
1
vote
ROC curve for deep learning
Mathematically, it is not possible to have the area under the curve equal to 1 if you have a precision less than 1... If you have a doubt, you should check the confusion matrix and calcuate the scores …
- 1,349