18EC752 Neural Networks VTU CBCS Notes

18EC752 Neural Networks VTU CBCS Notes

Here you can download the VTU 2018 Scheme notes, and Study materials of 18EC752 Neural Networks of the Electronics and Communications Engineering department.

University Name: Visvesvaraya Technological University (VTU), Belagavi

Branch Name: Electronics and Communication Engineering – ECE

Semester: 7th (4th Year BE)

Subject Code and Subject Name: 18EC752 Neural Networks – NN

Scheme of Examination: 2018 Scheme

Marks Distribution: 40 Marks for Continuous Internal Assessment and 60 Marks for Semester end examination

Important Concepts discussed:

1st Module covers ” Feedforward and Feedback, Convex Sets, Convex Hull and Linear Separability, Non-Linear Separable Problem.”

2nd Module covers “Perceptron learning and Non Separable sets, a-Least Mean Square Learning, MSE Error surface, Steepest Descent Search.”

3rd Module covers “XOR Problem, Multilayer Networks. Learning: Learning Algorithms, Error correction and Gradient Descent Rules, Learning objective of TLNs.”

4th Module covers “Associative Learning Attractor Associative Memory, Linear Associative memory, Hopfield Network, application of Hopfield Network.”

5th Module covers “Maximal Eigenvector Filtering, Extracting Principal Components, Generalized Learning Laws, Vector Quantization.”

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