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The journey started with the Introduction to Neural and Cognitive Modeling (later a textbook came out with the same title) course offered by Prof. Daniel Levine at UT Arlington in the late 80's. {He started the fire!}. Dr. Guido Bugmann and I offered an "Introduction to Neurocomputing" course during 1995-1997 at University of Plymoouth. Later this has been offered over the years at University of Hyderabad since 1999 and as part of the Statistical Methods in AI (SMAI) course at IIIT-H during 2014-2017. The 2018 batch of MTech students at University of Hyderabad committed it as iPython Notes. Especially, Sai Somanath and Krutika took the leadership in building it ground up.
Acknowledgments are due to Prof. Kenji Doya Okinawa Institute of Science and Technology and Prof. B. L. Deekshatulu, for mentorship and Prof. N. Yadaiah, JNTU, Hyderabad for friendship. The textbooks of Prof. Simon Haykin and Prof. B. Yegnanarayana have been the guiding lights.
These course notes are intended to give the conceptual foundation of Neural Networks and complement the recent spurt in nice blogs on Deep Neural Networks. The notes cover basics of Supervised and Unsupervised Learning and are suitable for self-study with animated examples. Still to come are Recurrent Neural Networks, Reinforcement Learning, Hopfield Network, Boltzmann Machine, Convolutional Neural Networks, and Applications. This is work-in-progress, a long read ahead! Enjoy!
Dr. Raju S. Bapi