Mehdi Mohammadi
8.1/10
(Our Score)
Product is rated as #254 in category Machine Learning
In this course we learn the concepts and fundamentals of reinforcement learning, it’s relation to artificial intelligence and machine learning, and how we can formulate a problem in the context of reinforcement learning and Markov Decision Process. We cover different fundamental algorithms including Q–Learning, SARSA as well as Deep Q–Learning. We present the whole implementation of two projects from scratch with Q–learning and Deep Q–Network.
Instructor Details
Votes: 0
Courses : 1
Specification: Deep Reinforcement Learning: Hands-on AI Tutorial in Python
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15 reviews for Deep Reinforcement Learning: Hands-on AI Tutorial in Python
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| Price | $14.99 |
|---|---|
| Provider | |
| Duration | 4 hours |
| Year | 2020 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
Deep Reinforcement Learning: Hands-on AI Tutorial in Python
$14.99
Truong Bui –
not in an exciting way, the voice sound boring & content is not new
Zahra Alrebh –
It is an excellent course.
Azam Rabiee –
Robotic talk of the lecturer is boring.
Mir Mohammad Amin Mousavi –
In my idea, this course is wonderful and the lecturer explains each subjects very simple and understandable.
Frederik –
great course on RL
Angus Lou –
Accent and presentation need to be improved, can’t even hear clearly when he is coding.
Van–Hai Bui –
It is good for providing a basic knowledge of RL and DRL.
Javier Alonso –
Slow and boring. The speaker is not clear and the voice is so monotone.
Vahid Nikoofard –
The content of the course definitely is very well. It is very didactic and practical and has step by step projects. To become a perfect course the presentation must be improved, specially for the implementation of the projects.
Vikas Tripathi –
Good course!
Mehdi Ben Ayed –
the content is too high level and simplistic
Shayan Naghizadeh –
great course! easy to understand and practical.
Matthew Schneider –
This is one of best Deep Q learning courses on Udemy! The instructor does not waste your time or ramble on about nothing, like so many others do. What is so great about this course is the fact that the great detail is given showing how the layers are connected. The instructor has a deep knowledge of python and the Deep Q Learning process. Another reason to choose this course is the instructor took the time to show you how to save and load the model! Beware, most other courses do not show you these key details and good luck trying to google anything to make sense of what you need and what you don’t need to load a trained model. Fear not! It’s all right here! Everything need to train, save, load, and test with new data to see the results of the trained model. Even how to graph the results! If you have seen the gaps in other Deep Q Learning courses, then this may be your answer. The pace is smooth and steady, very easy to listen too. I keep returning to this course because it is so clear compared to the others.
navid mohamadi –
its a an excellent course! very well explained
Milad Rostamian –
This is very good course.