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An introductory course on neural networks by Dr. Michael S. Gashler.
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. The programming assignments are a critical component of this course, and watching the lectures without completing the assignments does not even count as taking the course.