Published on: 2024-12-29 21:51:50
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Deep Reinforcement Learning 2.0 educational series in conjunction with the issue of reinforcement learning is deep. Reinforcement learning of the principles of deep learning and reinforcement learning to build algorithms efficiently, with applications in the fields of robotics., the videogames, etc. natural language processing, etc. vision, computer education, transportation, accounting, and health care uses. Implementation of the architecture, deep learning, along with algorithms, reinforcement learning, etc. researchers solve problems that are already solvable not have is. In the course of Deep Reinforcement Learning 2.0 implementation of a model of artificial intelligence, super smart new called Twin-Delayed DDPG, which is a combination of art techniques, in artificial intelligence, including learning, continuous Double Deep Q-Learning, etc. Policy Gradient and Actor Critic can be. fully training is given. This model, to if powerful is that you can use it the most challenging application of artificial intelligence to solve the. Ago the field began to learn in this course know the basics of math and some programming knowledge.
Some maths basics like knowing what is a differentiation, or a gradient
A bit of programming knowledge (classes and objects)
After the Extract with the Player your custom view.
Subtitles: English
Quality: 720p
Previous Title:
Deep Reinforcement Learning 2.0
Changes:
Version 2021/8 Compared to 2019/11, the number of lessons increased by 1 but decreased by 1 minute. Its quality has also been upgraded from 720p to 1080p.
The 2024/12 version has increased the number of 2 lessons by 4 minutes compared to 2021/8. The course quality has also been reduced from 1080p to 720p.
1.9 GB
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