Video Training → AI–Reinforcement Learning for Managing Networks
Published by: voska89 on 5-11-2023, 23:48 | 
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Free Download AI–Reinforcement Learning for Managing Networks
Published 10/2023
Created by Riad Rahmo
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 11 Lectures ( 1h 54m ) | Size: 590 MB
Video Training → Introduction To Reinforcement Learning Motion Control
Published by: voska89 on 10-02-2023, 18:58 | 0
The brain of futuristic autonomous systems
Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 736.39 MB | Duration: 1h 33m
What you'll learn
Build motivation to take part in autonomous system product development
Video Training → Deep Reinforcement Learning Using Python
Published by: voska89 on 9-01-2023, 01:22 | 0
Published 1/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.75 GB | Duration: 9h 7m
Complete guide to deep reinforcement learning
Video Training → Reinforcement Learning With R Algorithms-Agents-Environment
Published by: voska89 on 31-12-2022, 19:25 | 0
Last updated 3/2019
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.83 GB | Duration: 6h 13m
Learn how to utilize algorithms for reward-based learning, as part of Reinforcement Learning with R.
Video Training → Python Reinforcement Learning, Deep Q-Learning And Trfl
Published by: voska89 on 31-12-2022, 14:09 | 0
Last updated 5/2019
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.94 GB | Duration: 5h 13m
Leverage the power of Reinforcement Learning techniques to develop intelligent systems using Python
Video Training → Nanodegree Program - Become a Deep Reinforcement Learning Expert
Published by: voska89 on 27-12-2022, 14:00 | 0
Alexis Cook (et al.) | Duration: 11:48 h | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 2,29 GB | Language: English
Learn the deep reinforcement learning skills that are powering amazing advances in AI. Then start applying these to applications like video games and robotics.
Learn cutting-edge deep reinforcement learning algorithms—from Deep Q-Networks (DQN) to Deep Deterministic Policy Gradients (DDPG). Apply these concepts to train agents to walk, drive, or perform other complex tasks, and build a robust portfolio of deep reinforcement learning projects.
The demand for engineers with reinforcement learning and deep learning skills far exceeds the number of engineers with these skills. This program offers a unique opportunity for you to develop these in-demand skills. You'll implement several deep reinforcement learning algorithms using a combination of Python and deep learning libraries that will serve as portfolio pieces to demonstrate the skills you've acquired. As interest and investment in this space continues to increase, you'll be ideally positioned to emerge as a leader in this groundbreaking field.
Video Training → Reinforcement Learning With Pytorch
Published by: voska89 on 11-11-2022, 14:16 | 0
Last updated 8/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 8.56 GB | Duration: 7h 13m
Learn to apply Reinforcement Learning and Artificial Intelligence algorithms using Python, Pytorch and OpenAI Gym
Video Training → Modern Reinforcement Learning Deep Q Learning In Pytorch
Published by: voska89 on 11-11-2022, 12:49 | 0
Last updated 10/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.14 GB | Duration: 5h 42m
How to Turn Deep Reinforcement Learning Research Papers Into Agents That Beat Classic Atari Games
Video Training → Modern Reinforcement Learning Actor-Critic Algorithms
Published by: voska89 on 11-11-2022, 12:49 | 0
Last updated 10/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.24 GB | Duration: 8h 9m
How to Implement Cutting Edge Artificial Intelligence Research Papers in the Open AI Gym Using the PyTorch Framework
Video Training → Machine Vision, GANs, and Deep Reinforcement Learning by Jon Krohn
Published by: voska89 on 14-08-2022, 21:59 | 0
Jon Krohn - Machine Vision, GANs, and Deep Reinforcement Learning
Duration: 6h 5m | Video: 1280x720 30fps | Audio: AAC, 48 kHz, 2ch | Size: 1.87 GB
Genre: eLearning | Language: English
Machine Vision, GANs, Deep Reinforcement Learning LiveLessons 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. 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 straightforward Keras layers in TensorFlow 2, the most popular Deep Learning library.
