tl_04.py

position_block_15 = base_model.get_layer('block_15_add')

for layer in base_model.layers:
    layer.trainable = True
    

all_layers = base_model.layers
for i in range(base_model.layers.index(position_block_15)):
    all_layers[i].trainable = False
    

model_transfered_1.compile(optimizer=Adam(lr=0.0005), 
                         loss='categorical_crossentropy', metrics=['categorical_accuracy'])


epochs = 14
steps_per_epoch = train_generator.n//train_generator.batch_size
validation_steps = validation_generator.n//validation_generator.batch_size


history = model_transfered_1.fit(
    x=train_generator,
    steps_per_epoch=steps_per_epoch,
    epochs=epochs,
    validation_data = validation_generator,
    validation_steps = validation_steps,
    shuffle=True
)