Train_Caption_Model.py

# get training data
train_data = create_trianing_data(train_image_captions, train_image_features, tokenizer, max_caption_len, vocab_length, 32)

# initialize model
model = create_model(max_caption_len, vocab_len)

steps_per_epochs = len(train_image_captions)//32

# compile model
model.compile(optimizer='adam', loss='categorical_crossentropy')
model.fit_generator(train_data, epochs=100, steps_per_epoch=steps_per_epochs)