Description
Advanced AI Deep Reinforcement Learning in Python, the name of the educational video series in the field of data and analyze it, and the branching programming language Python can be. This course is specifically aimed at teaching advanced focuses of artificial intelligence. To help you, the programming language Python and knowledge of the science of deep learning dominate significantly, you want to catch. Of course, it is assumed that you have a thorough course in both deep learning and neural networks. This course, as a period of effective skills, allows you to improve yourself significantly.
Knowledge of calculus and probability. object oriented programming etc. programming, python, etc. Programming, Numpy, Linear Regression and other units will help you a lot in understanding the content of this course. This course is also intended for professionals and students, high-level artificial intelligence and design will be published. At the end of this course, you, the students, will be rated as people who are fluent in different neural networks and are deep at different levels.
Occasions for teaching the course:
- Knowledge of various factors including DQN and A3C in deep learning
- Learn different algorithms, deep learning, advanced problem solving
- Understanding and Learning Q-Learning Assisted Learning Advanced Neural Networks
- Learn how to use Convolutional Neural Networks with Q-Learning, Deep
- Networked Learning and Understanding, RBF
- And…
Profile Course on Deep Reinforcement Learning for Advanced Artificial Intelligence in Python
- Language: English
- Duration Time: 10h 35m
- Number of courses: 79
- Instructor: Lazy Programmer, Inc.
- File format: mp4
This course is a deep learning of advanced artificial intelligence in Python
Prerequisite course Advanced AI Deep Reinforcement Learning in Python
- Know the basics of Reinforcement Learning, MDPs, Dynamic Programming, Monte Carlo, TD Learning
- Calculus and Probability
- Experience building machine learning models in Python and Numpy
- Learn how to build feedforward, convolutional, and recurrent neural networks with Theano and Tensorflow
Pictures
Sample movie
installation manual
After extracting with the player, your custom view.
Subtitles: English
Quality: 720p
Changes:
The 2019/12 version compared to the 2018/12 version has been extended by at least 4 minutes. About 600 MB also increase their size.
Version 2020/4 compared to 2019/12 did not change in the number of courses and total time and time titles. Content changes are not specified.
Version 2020/7 compared to 2020/4 the number of lessons is 6 and an increase of 1.5 hours.
Version 2020/12 compared to 2020/7 about 7 minutes, increase the time.
Download link
Password file(s): free download software
file size
2.62 GB