Neural Networks (Gashler)

Neural Networks (Gashler)
Free Course
Categories
Effort
Certification
Languages
Students should already be very proficient with computer programming in Java or C++.
Misc

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Neural Networks (Gashler)
An introductory course on neural networks by Dr. Michael S. Gashler. 99 lectures, each about 15-minutes long. 6 Programming assignments. 3 reading assignments. 3 self-administered exams.

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This course guides students to implement their own neural network code. It also covers a variety of neural net concepts, including basic theory, mathematical derivation, intuition, and some speculation about future directions, but the primary emphasis is on implementation. Students are assumed to already be proficient at computer programming in C++ or Java.



MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Free Course
Students should already be very proficient with computer programming in Java or C++.

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.