How To Scale The Gradient During Batch Update In Keras?

I am using a standard keras model and I am training on batch (using the train_on_batch function). Now, I want to take the gradient of each element in the batch and scale it (multip

Solution 1:

• Use the sample_weights argument in the fit method of a model.
• Or, if using a generator, make the generator return not only X_train, y_train, but X_train, y_train, sample_weights.

In both cases, sample_weights should be a 1D vector with the same number of samples as the data.