The Deep Learning Nanodegree program offers you a solid introduction to the world of artificial intelligence. In this program, you’ll master fundamentals that will enable you to go further in the field, launch or advance a career, and join the next generation of deep learning talent that will help define a beneficial, new, AI-powered future for our world. You will study cutting-edge topics such as Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Generative Adversarial Networks, and Network Deployment, and build projects in PyTorch and NumPy. You’ll learn from authorities such Ian Goodfellow and Jun-Yan Zhu, inventors of types of generative adversarial networks, as well as AI experts, Sebastian Thrun and Andrew Trask. For anyone interested in this transformational technology, this program is an ideal point-of-entry. The program is comprised of 5 courses and 5 projects. Each project you build will be an opportunity to prove your skills and demonstrate what you’ve learned in your lessons.
Learn how to build convolutional networks and use them to classify images (faces, melanomas, etc.) based on patterns and objects that appear in them. Use these networks to learn data compression and image denoising.
In this project, you will define a Convolutional Neural Network that performs better than the average human when given the task: identifying dog breeds. Given an image of a dog, your algorithm will produce an estimate of the dog’s breed. If supplied an image of a human, the code will also produce an estimate of the closestresembling dog breed. Along with exploring state-of-the-art CNN models for classification, you will make important design decisions about the user experience for your app.
