Week - 1 |
Introduction |
Week - 2 |
Perceptron, Perceptron Learning Algorithm, Convergence Theorem and Proof |
Week - 3 |
Adaptive Linear Unit, Gradient Learning Algorithms |
Week - 4 |
Basic Learning Rules, Single Layer Feed Forward Neural Networks |
Week - 5 |
Single Layer Feed Forward Neural Networks: Error Back-propagation Algorithm |
Week - 6 |
Multı-Layer Feed Forward Neural Networks |
Week - 7 |
Multı-Layer Feed Forward Neural Networks: Error Back-propagation Algorithm |
Week - 8 |
Convolutional Neural Networks |
Week - 9 |
Convolutional Neural Networks |
Week - 10 |
Radial Basis Function Networks |
Week - 11 |
Recurrent Neural Networks |
Week - 12 |
Support Vector Machines |
Week - 13 |
Unsupervised Learning and Self Organization |
Week - 14 |
Applications |