You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms.
- Discover what makes deep learning systems unique, and the implications for practitioners
- Explore new tools that make deep learning models easier to build, use, and improve
- Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more
- Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects
Reviews
There are no reviews yet.