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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
Accepted
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 …
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 …
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. …
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 …