Deep Learning, Jupyter Notebook, TensorFlow, Python, Data Science.
validation_steps=self.validation_steps, validation_data=self.valid_generator ) self.save_model( path=self.config.trained_model_path, model=self.model ) The model_training.py file is created with test data of 20% and training data of 80%. After this in the pipeline folder, we create the