Description:
Cutting-Edge AI: Deep Reinforcement Learning in Python is a training title published by Udemy and deals with Reinforcement Learning and Deep Learning (Neural Networks). With the science of Deep Reinforcement Learning, robots can be produced that have defeated even the most professional chess players in the world. Deep Reinforcement Learning is also used in the creation of artificial intelligence for games such as DOTA 2 and CS:GO. These are only a small part of the infinite capabilities of Deep Reinforcement Learning.
We’ve seen real-world robots learn how to walk and improve even after being trained using simulation. One of the good aspects of simulation is that it does not require expensive real hardware. You will be introduced to many examples of artificial intelligence during this enjoyable course.
Features of Cutting-Edge AI: Deep Reinforcement Learning in Python:
- Learning a new application of A2C algorithm, namely OpenAI Baselines
- Learning and applying Evolution Strategies (ES)
- Learning and applying DDPG (Deep Deterministic Policy Gradient)
It is better to be familiar with the following before starting this course
- Calculus
- Probability
- Object-oriented programming
- Python coding: if/else, loops, lists, dicts, sets
- Numpy coding: matrix and vector operations
- Linear regression
- Gradient descent
- Know how to build a convolutional neural network (CNN) in TensorFlow
- Markov Decision Processes (MDPs)
Course details:
- Publisher: Udemy
- teacher: Lazy Programmer Inc.
- Number of lessons: 50 lessons
- Duration: 8 hours and 32 minutes
Headlines of the course on 2024/5
Course prerequisites
- Know the basics of MDPs (Markov Decision Processes) and Reinforcement Learning
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Helpful to have seen my first two Reinforcement Learning courses
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Know how to build a convolutional neural network in Tensorflow
Course images
Sample video
Installation guide
After extracting, watch with your favorite player.
English subtitle
Quality: 720p
Changes:
Version 2022/10 has not changed compared to 2019/8 in the number of lessons and duration of the course, but the volume of some videos has changed.
download link
File(s) password: www.downloadly.ir
Size
2.03 GB
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