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Course11710508437 lectures

Neural Networks and Applications

Prof. Somnath Sengupta · IIT Kharagpur

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Lectures

Neural Networks and Applications

  1. Introduction to Artificial Neural Networks Video
  2. Artificial Neuron Model and Linear Regression Video
  3. Gradient Descent Algorithm Video
  4. Nonlinear Activation Units and Learning Mechanisms Video
  5. Learning Mechanisms-Hebbian,Competitive,Boltzmann Video
  6. Associative memory Video
  7. Associative Memory Model Video
  8. Condition for Perfect Recall in Associative Memory Video
  9. Statistical Aspects of Learning Video
  10. V.C. Dimensions: Typical Examples Video
  11. Importance of V.C. Dimensions Structural Risk Minimization Video
  12. Single-Layer Perceptions Video
  13. Unconstrained Optimization: Gauss-Newton's Method Video
  14. Linear Least Squares Filters Video
  15. Least Mean Squares Algorithm Video
  16. Perceptron Convergence Theorem Video
  17. Bayes Classifier & Perceptron: An Analogy Video
  18. Bayes Classifier for Gaussian Distribution Video
  19. Back Propagation Algorithm Video
  20. Practical Consideration in Back Propagation Algorithm Video
  21. Solution of Non-Linearly Separable Problems Using MLP Video
  22. Heuristics For Back-Propagation Video
  23. Multi-Class Classification Using Multi-layered Perceptrons Video
  24. Radial Basis Function Networks: Cover's Theorem Video
  25. Radial Basis Function Networks: Separability & Interpolation Video
  26. Posed Surface Reconstruction Video
  27. Solution of Regularization Equation: Greens Function Video
  28. Use of Greens Function in Regularization Networks Video
  29. Regularization Networks and Generalized RBF Video
  30. Comparison Between MLP and RBF Video
  31. Learning Mechanisms in RBF Video
  32. Introduction to Principal Components and Analysis Video
  33. Dimensionality reduction Using PCA Video
  34. Hebbian-Based Principal Component Analysis Video
  35. Introduction to Self Organizing Maps Video
  36. Cooperative and Adaptive Processes in SOM Video
  37. Vector-Quantization Using SOM Video

Syllabus and materials

At NPTEL, as the course publishes them.

Credits and licence

Institution
IIT Kharagpur
Department
Electronics & Communication Engineering
Teacher
Prof. Somnath Sengupta
Level
Undergraduate
Language
English
Subjects
Engineering, Society and politics
Source
NPTEL
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
Attribution
NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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