[ CourseWikia.com ] Advanced AI: Deep Reinforcement Learning in Python (Updated 01/2021)



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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + .srt | Duration: 79 lectures (10h 36m) | Size: 2.18 GB

The Complete Guide to Mastering Artificial Intelligence using Deep Learning and Neural Networks

What you'll learn:

Build various deep learning agents (including DQN and A3C)

Apply a variety of advanced reinforcement learning algorithms to any problem

Q-Learning with Deep Neural Networks

Policy Gradient Methods with Neural Networks

Reinforcement Learning with RBF Networks

Use Convolutional Neural Networks with Deep Q-Learning



Requirements

Know reinforcement learning basics, MDPs, Dynamic Programming, Monte Carlo, TD Learning

College-level math is helpful

Experience building machine learning models in Python and Numpy

Know how to build ANNs and CNNs using Theano or Tensorflow



Description

This course is all about the application of deep learning and neural networks to reinforcement learning.



If you’ve taken my first reinforcement learning class, then you know that reinforcement learning is on the bleeding edge of what we can do with AI.



Use Winrar to Extract. And use a shorter path when extracting, such as C: drive



ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)



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