Course Content :-

• Fundamentals: Perceptron and Adaline.

• Back-Propagation.

• Recurrent Networks: Self-Organizing Networks.

• Reinforcement learning.

• Robot Control.

• Vision.

• General Purpose Hardware.

• Dedicated Neuro-Hardware.