What you’ll learn
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Reinforcement Learning with Python
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Creating Artificial Neural Networks with TensorFlow
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Using TensorFlow to create Convolution Neural Networks for Images
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Using OpenAI to work with built-in game environments
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Using OpenAI to create your own environments for any problem
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Create Artificially Intelligent Agents
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Tabular Q-Learning
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State–action–reward–state–action (SARSA)
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Deep Q-Learning (DQN)
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DQN using Convolutional Neural Networks
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Cross Entropy Method for Reinforcement Learning
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Double DQN
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Dueling DQN
Who this course is for:
- Python developers familiar with basics of machine learning, such as Scikit-Learn, but now want to learn how to create Artificially Intelligent Agents through Reinforcement Learning
Can I download Practical AI with Python and Reinforcement Learning course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Practical AI with Python and Reinforcement Learning course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
