Description
Advanced AI Deep Reinforcement Learning in Python is the name of the collection of visual training in the field of data and their analysis in the field of programming in Python. This course specifically focuses on advanced artificial intelligence training. You will achieve significant mastery with the help of the Python programming language and by getting to know the science of deep learning. The course in front of you is considered as a comprehensive course for deep learning as well as neural networks. This training course will significantly improve your skills as an efficient course.
Familiarity with calculus and probability, object-oriented programming, Python programming, Numpy programming, linear regression and other things will help you a lot in understanding the contents of this course. This training course is also designed and published for professionals and students with a strong technical background who wish to learn advanced artificial intelligence techniques. At the end of this course, dear students, you will become proficient in the use of deep and neural networks at different levels.
Items taught in this course:
- Familiarity with various factors including DQN and A3C in deep learning
- Learning a variety of advanced deep learning algorithms in solving problems
- Understanding and learning Q-Learning with the help of advanced learning of neural networks
- Learn how to use Convolutional Neural Networks with Q-Learning Deep
- Learning and getting familiar with RBF networks
- And…
Advanced AI Deep Reinforcement Learning in Python course specifications
- English language
- Duration: 10 hours and 35 minutes
- Number of courses: 79
- Instructor: Lazy Programmer Inc.
- File format: mp4
Course topics Advanced AI Deep Reinforcement Learning in Python
Advanced AI Deep Reinforcement Learning in Python course prerequisite
- Know reinforcement learning basics, MDPs, Dynamic Programming, Monte Carlo, TD Learning
- Calculus and probability
- Experience building machine learning models in Python and Numpy
- Know how to build a feedforward, convolutional, and recurrent neural network using Theano and Tensorflow
Pictures
Sample video
Installation guide
After extracting, watch with your favorite player.
English subtitle
Quality: 720p
Changes:
The 2019/12 version has increased by at least 4 minutes compared to 2018/12. About 600 MB has increased in size.
The 2020/4 version compared to 2019/12 has not had any changes in the number of lessons and the total time and the time of the chapters. Content changes are not clear.
The 2020/7 version has increased the number of 6 lessons and 1.5 hours compared to 2020/4.
Version 2020/12 has increased time by about 7 minutes compared to 2020/7.
download link
Password file(s): www.downloadly.ir
Size
2.62 GB
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