Advanced AI: Deep Reinforcement Learning in Python

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

What Will I Learn?

• Build various deep learning agents
• 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
• Calculus and probability at the undergraduate level
• Experience building machine learning models in Python and Numpy
• Know how to build a feedforward, convolutional, and recurrent neural network using Theano and Tensorflow

Includes:

• 6.5 hours on-demand video
• Full lifetime access
• Access on mobile and TV
• Certificate of Completion

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Take this course