Deep Learning, Jupyter Notebook, TensorFlow, Python, Data Science.
followed are utilizing the training data that was created by unzipping the downloaded data in the data ingestion stage, the prepare base model, and the parameters like epoch, batch size, augmentation, and image size. After that, we create the model_training.py inside the components folder. import