What is the use of verbose in Keras while validating the model?
What is the use of verbose in Keras while validating the model? Question: I’m running the LSTM model for the first time. Here is my model: opt = Adam(0.002) inp = Input(…) print(inp) x = Embedding(….)(inp) x = LSTM(…)(x) x = BatchNormalization()(x) pred = Dense(5,activation=’softmax’)(x) model = Model(inp,pred) model.compile(….) idx = np.random.permutation(X_train.shape[0]) model.fit(X_train[idx], y_train[idx], nb_epoch=1, …