Get learning rate of keras model

Use eval() from keras.backend:

import keras.backend as K
from keras.models import Sequential
from keras.layers import Dense

model = Sequential()
model.add(Dense(1, input_shape=(1,)))
model.add(Dense(1))
model.compile(loss="mse", optimizer="adam")

print(K.eval(model.optimizer.lr))

Output:

0.001

Leave a Comment

Hata!: SQLSTATE[HY000] [1045] Access denied for user 'divattrend_liink'@'localhost' (using password: YES)