Convolutional Neural Networks

Overview

You will learn the main characteristics of CNNs that make them so useful for image processing, their inner workings, and how to build them from scratch to complete image classification tasks. You will learn what are the most successful CNN architectures, and what are their main characteristics. The Convolutional Neural Networks program is offered by Udacity.

You will apply these architectures to custom datasets using transfer learning. You will also learn about autoencoders, a very important architecture at the basis of many modern CNNs, and how to use them for anomaly detection as well as image denoising. Finally, you will learn how to use CNNs for object detection and semantic segmentation.

Course Skills

• Convolutional Neural Networks

Image pre-processing • Image segmentation • Neural network initialization • Bounding boxes • Semantic image segmentation • Convolutional kernels • Training neural networks • U-net • Convolutional neural networks • Autoencoders • Image classification • Transfer learning • Model training • Object detection • PyTorch