Informit – Machine Vision, GANs, and Deep Reinforcement Learning LiveLessons, 2nd Edition Free Download.
Informit – Machine Vision, GANs, and Deep Reinforcement Learning LiveLessons, 2nd Edition Description
Contents
- Intermediate
- The author’s Deep Learning with TensorFlow, Keras, and PyTorch LiveLessons, or familiarity with the topics covered in Chapters 5 through 9 of his book Deep Learning Illustrated, are a prerequisite.
What’ll you learn
- Understand the high-level theory and key language around machine vision, deep reinforcement learning, and generative adversarial networks
- Create state-of-the art models for image recognition, object detection, and image segmentation
- Architect GANs that create convincing images in the style of human-drawn illustrations
- Build deep RL agents that become adept at performing in a wide variety of environments, such as those provided by OpenAI Gym
- Run automated experiments for optimizing deep reinforcement learning agent hyperparameters, such as its artificial-neural-network configuration
- Appreciate what the current limitations of “artificial intelligence” are and how they may be overcome in the near future
Who Should Take This Course
- Perfectly suited to software engineers, data scientists, analysts, and statisticians with an interest in applying Deep Learning to natural language data
- Code examples are provided in Python, so familiarity with it or another object-oriented programming language would be helpful