Transfer Learning for Food Classification

This hands-on project will allow us to train a deep learning model that can predict the type and quality of food. We'll then fine tune it to make it more accurate. This project could be used in the food industry to determine the quality and type of food. This 2-hour-long project-based course will help you to: - Understand Convolutional Neural networks (CNNs) theory and intuition. - Learn the theory and intuition behind transfer Learning. - Visualize images and import key libraries. - Perform data augmentation. Pre-Trained InceptionResnetV2 can be used to build a Deep Learning Model. - Create a Deep Learning model and then fit it to training data. - Evaluate the performance of trained CNNs and verify its generalization with various KPIs.