In this workshop, we will delve into the application of Convolutional Neural Networks (CNNs) for image classification through the utilization of transfer learning techniques. As the training of CNNs on image datasets can be a resource-intensive process, we will demonstrate the use of pre-trained models to achieve high accuracy results on smaller datasets. Participants will gain a solid understanding of the fundamental concepts and techniques required for training image classifiers, and will have the ability to apply this knowledge to their own datasets.
By the end of this workshop, attendees will have a strong grasp of the principles behind deep learning and its applications.
