Cutting-Edge AI: Deep Reinforcement Learning in Python, as the training is from the website Udemy is published, and to Reinforcement Learning and Deep Learning (Neural Networks) deals. Science Deep Reinforcement Learning, etc. can be robots produced that even most professionals شطرنجبازهای the world to defeat is. From Deep Reinforcement Learning in the construction of artificial intelligence for games such as DOTA 2 and CS: GO is also used. Wrong, only a small part of the abilities پایانناپذیر Deep Reinforcement Learning Industry.
Our robots, the real world we have seen that how to walk, learn and even after using the simulation trained, improvement they find. One of the aspects of a good simulation, the lack of need for hardware is the true director is. You during this period, delightfully, with a lot of examples of artificial intelligence will be familiar.
Features Cutting-Edge AI: Deep Reinforcement Learning in Python:
Learn a application of the new algorithm, A2C, that is, the OpenAI Baselines
Learning and the Evolution Strategies (ES)
Learning and the DDPG (Deep Deterministic Policy Gradient)
Better before the start of the course, with the following. be familiar
- 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 Proccesses (MDPs)
Profile courses :
Instructor: Lazy Programmer, Inc.
Number of lessons: 50 lessons in 9 sections
Duration Time: 8 hours and 32 minutes
The headlines course :
- Know the basics of MDPs (Markov Decision Processes), and Reinforcement Learning
Helpful to have seen my first two Reinforcement Learning, courses
Know how to build a convolutional neural network in Tensorflow
After the Extract with the Player your custom view.
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