Machine Vision, GANs, Deep Reinforcement Learning (Training)

Colleagues, Machine Vision, GANs, Deep Reinforcement Learning is an introduction to three of the most exciting topics in Deep Learning today. Modern machine vision involves automated systems outperforming humans on image recognition, object detection, and image segmentation tasks. 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. Throughout these lessons, essential theory is brought to life with intuitive explanations and interactive, hands-on Jupyter notebook demos. Examples feature Python and straightforward Keras layers in TensorFlow 2, the most popular Deep Learning library. 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. Training modules include: 1) Orientation, 2) Convolutional Neural Networks for Machine Vision (create ConvNets in TensorFlow), 3) Generative Adversarial Networks for Creativity (generative adversarial networks (GANs), 4) Deep Reinforcement Learning, and 5) Deep Q-Learning and Beyond.

Register today at: https://tinyurl.com/y9mnw3v5

Career success awaits you, Lawrence Wilson – Artificial Intelligence Academy