Dataset: Bring your own Dataset. Find the dataset from Kaggle or GitHub related to image classification. Dataset can be import using keras API: https://keras.io/api/datasets/ Task 1: Import Libraries: a. Import required libraries (e.g., import tensorflow as tf) Task 2: Import Dataset: a. Load dataset using keras API. b. Dataset must be pre-processed before training the network, if you check image in the training, you will see pixel value range from 0 to 255, scale these values range from 0 to 1. [note it is important that both training and testing dataset pre- processed same way]