Deep Reinforcement Learning and GANs: Advanced Topics in Deep Learning
Deep Reinforcement Learning and GANs: Advanced Topics in Deep Learning
MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 5 Hours | 9.18 GB
Genre: eLearning | Language: English
MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 5 Hours | 9.18 GB
Genre: eLearning | Language: English
Deep Reinforcement Learning and GANs LiveLessons is an introduction to two of the most exciting topics in Deep Learning today. Generative Adversarial Networks cast two Deep Learning networks against each other in a “forger-detective” relationship, enabling the fabrication of stunning, photorealistic images with flexible, user-specifiable elements. Deep Reinforcement Learning has produced equally surprising advances, including the bulk of the most widely-publicized “artificial intelligence” breakthroughs. Deep RL involves training an “agent” to become adept in given “environments,” enabling algorithms to meet or surpass human-level performance on a diverse range of complex challenges, including Atari video games, the board game Go, and subtle hand-manipulation tasks. Throughout these lessons, essential theory is brought to life with intuitive explanations and interactive, hands-on Jupyter notebook demos. Examples feature Python and Keras, the high-level API for TensorFlow, the most popular Deep Learning library.
Deep Reinforcement Learning and GANs: Advanced Topics in Deep Learning
