In this tutorial, we are going to learn about custom callbacks. we will see what are callbacks and how can we can build our own callbacks in TensorFlow with Python.
We will see how can we save and load a trained model in tensorflow, not only weight but also the architecture of the model. We will do these things by using TensorFlow in Python.
We are going to see what is data augmentation, why is it necessary, what are types of data augmentation and how we can perform it in Python by using TensorFlow.
We will see what is Sequential API and Functional API, What is the difference between them, which is better and how do we use them in TensorFlow with Python.
We will predict the disease of the grape plant by looking at their leaves using TensorFlow in Python, we have four classes of disease of grapes we will classify plant into infected or healthy.