The Most Effective Way to Learn Artificial Intelligence
Learn to implement cutting edge algorithms starting from first principles.
What is the Neuralnet Academy?
Artificial intelligence is difficult, but it doesn't have to be confusing. We break down complicated topics into their core ideas to get you coding fast.
Many other courses leave out key topics; not the Academy. Everything you need to go from beginner to expert is inside.
Learn Like the Experts
Top tier researchers aren't reading Medium articles for insights, and neither should you. In the Academy you will learn how to implement cutting edge research articles.
Try your hand at the solution first, then see an expert code the solution. Complete with line by line explanations.
We will show you how to code deep reinforcement learning algorithms in both PyTorch and Tensorflow 2. Both have a place in industry, and should have a place in your toolkit.
Have questions that aren't covered by the material? We strive to answer questions as quickly as possible.
Courses Included In Your Subscription
Get instant access to 150 videos & over 24 hours of content.
Actor Critic Methods
Topics include a brief introduction to reinforcement learning, policy gradient and actor critic methods, deep deterministic policy gradients (DDPG), twin delayed deep deterministic policy gradients (TD3), and soft actor critic (SAC).
Deep Q Learning
Topics include a comprehensive introduction to reinforcement learning and neural networks, deep Q learning (DQN), double deep Q learning (DQN), and dueling deep Q learning (D3QN).
Curiosity Based Learning
This is an intermediate level course that jumps straight into the heart of the topic. We cover asynchronous advantage actor critic methods (A3C) and the intrinsic curiosity module (ICM).
Advanced Replay Memory Strategies
This is an intermediate level course that covers hindsight experience replay memory, with more to come. Students also learn to code their own custom environments.
Advanced Actor Critic Methods
This is an expert level course that begins with proximal policy optimization in continuous action spaces. Students also learn a multithreaded implementation in the Atari library.
Introduction to Natural Language Processing
This is a beginner level course that shows students how to implement the word2vec algorithm starting from first principles.
High Quality Video Lessons on Demand
Level up your skills today. Join the Academy.
Try it risk free for 7 days
$24.99 / mo.
$60.00 / qtr.
$120.00 / yr.
$249.00 / once
In 2012 I received my PhD in experimental condensed matter physics from West Virginia University. Following that I was a dry etch process engineer for Intel Corporation, where I leveraged big data to make essential process improvements in a billion dollar state of the art facility After leaving Intel in 2015, I have been on a mission to educate the next generation of artificial intelligence engineers.
Frequently Asked Questions
No matter where you are in your journey, you will benefit from the Academy. The only way to master programming is by programming, so start putting code to editor.
New content is being added monthly. In the future we are going to cover prioritized experience replay, actor critic with experience replay, coding your own Open AI gym environments, and many more topics.
Absolutely. Send an email to firstname.lastname@example.org and we'll hook you up with a discount code.
You can cancel any time. When you do, you'll finish out your current billing period and won't be charged the following cycle.