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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

  • 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 Proccesses (MDPs)

Profile courses :

Publisher: Udemy

Instructor: Lazy Programmer, Inc.

Number of lessons: 50 lessons in 9 sections

Duration Time: 8 hours and 32 minutes

The headlines course :

Cutting-Edge AI Deep Reinforcement Learning in Python Min

Prerequisite 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

Images period

Cutting-Edge AI: Deep Reinforcement Learning in Python Udemy

Sample Movie:

Installation guide

After the Extract with the Player your custom view.

Subtitles: English

Quality: 720p

Download link

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 1 GB

Download Part 4 – 75 MB

Password file(s):

File size

3.07 GB

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