The Haskell Brain
Machine Learning and AI in Haskell
Your Instructor
James is a Software Engineer living in San Francisco, CA. He first discovered Haskell in college, but began using it consistently since 2015. His Haskell experience blends multiple side projects as well as professional work. In late 2016, he began the Monday Morning Haskell blog, where he publishes new Haskell content every week.
Course Curriculum
The Haskell Brain
Available in
days
days
after you enroll
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Start1: Course Introduction (5:29)
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StartSpecial Note: Tensorflow V1 and V2 (1:49)
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Preview2: Installation and Dependency Setup (10:05)
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Preview3: Tensor Basics (14:37)
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Start4: Simple Learning Algorithms (17:13)
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Start5: Tensors in Haskell (13:33)
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Start6: Learning Algorithms in Haskell (13:44)
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Start7: Organizing Our Model (4:44)
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Start8: Serializing with Cassava (6:14)
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Start9: Basic Neural Networks (10:09)
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Start10: Visualizing with TensorBoard (8:10)
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Start11: Logistic Regression (10:55)
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Start12: Convolution and Pooling (11:41)
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Start13: Grenade and Dependent Types (15:09)
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Start14: Course Conclusion (2:44)
Frequently Asked Questions
When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.