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Keras is a popular, open-source deep learning API for Python built on top of TensorFlow and is useful for fast implementation. Topics include efficient low-level tensor operations, computation of arbitrary gradients, scalable computations, export of graphs, etc.

3 votes
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How to see/change learning rate in Keras LSTM?

In Keras, you can set the learning rate as a parameter for the optimization method, the piece of code below is an example from Keras documentation: from keras import optimizers model = Sequential …
Hunar's user avatar
  • 1,177
4 votes
Accepted

What exactly is BatchNormalization() in Keras?

Batch Normalization is a layer that is put in between convolution and activation layers or sometimes after activation layers. It is used to normalize layer’s input to reduce the internal covariate shi …
Hunar's user avatar
  • 1,177
2 votes
1 answer
1k views

Is there a way to get y_pred values from saved Keras model?

I have a Keras model saved in a .h5 file. …
Hunar's user avatar
  • 1,177
1 vote
1 answer
8k views

Dealing with pre-trained model for grayscale images

I would like to do Transfer Learning using one of the novel networks such as VGG, ResNet, Inception, etc. The problem is that my images are grayscale (1 channel) since all the above mentioned models w …
Hunar's user avatar
  • 1,177