Deep Reinforcement Learning in Python 2022-10 – Downloadly
Description:
State-of-the-art AI: Deep Reinforcement Learning in Python, as the training is published on the Udemy website and deals with Reinforcement Learning and Deep Learning (Neural Networks). Science Deep Reinforcement Learning, etc. Robots can be made that are capable of defeating even most of the world’s professional chess players. Deep reinforcement learning is also used to build artificial intelligence for games like DOTA 2 and CS:GO. Wrong, only a small part of the Deep Reinforcement Learning industry’s capabilities.
Our robots that we have seen in the real world learn how to walk and train themselves after using the simulation, they find improvements. One of the aspects of a good simulation is that it doesn’t require hardware that makes up the real director. Fortunately, you will be familiar with many examples of artificial intelligence during this time.
Offers state-of-the-art AI: Deep Reinforcement Learning in Python:
Learn an application of the new algorithm A2C, i.e. the OpenAI Baselines
Learning and Evolutionary Strategies (ES)
Learning and the DDPG (Deep Deterministic Policy Gradient)
Better before the start of the course, with the following. be familiar
- calculus
- probability
- Object oriented programing
- Python coding: if/else, loops, lists, dicts, sets,
- Numpy coding: matrix and vector operations
- linear regression
- Gradient descent
- Learn how to build a Convolutional Neural Network (CNN) in TensorFlow
- Markov Decision Processes (MDPs)
Profile courses:
The headline price for 2024/5
Prerequisite course
- Know the basics of MDPs (Markov Decision Processes) and reinforcement learning
It was helpful to have seen my first two reinforcement learning courses
Learn how to build a convolutional neural network in Tensorflow
picture period
Example film:
installation Guide
After extracting with the player you will get your custom view.
Subtitles: English
Quality: 720p
Changes:
In version 2022/10 compared to 2019/8, the number of courses and course duration has not changed, but the size of some videos has changed.
Download link
Password file(s): www.downloadly.ir
File size
2.03GB