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Results tagged with deep-learning
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user 30408
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
Accepted
sentence classification with RNN-LSTM - output layer
When doing a multiclass classification problem, in which the goal is predict exactly one class label for each input, it is standard to use the softmax function (a normalized exponential) as the activa …
- 391
3
votes
Data Augmentation in videos
You can augment videos in the temporal dimension through clipping, or taking random sequences of consecutive frames. You can also augment in the spatial dimension by cropping frames randomly to simula …
- 391
2
votes
Accepted
MNIST Deep Neural Network using TensorFlow
Given that you have such high error on the test set and have so many hidden layers/nodes, it's quite possible that your model is overfitting. Try using dropout or weight decay to regularize the weight …
- 391