# Neural Networks and Applications

- Institution: IIT Kharagpur
- Department: Electronics & Communication Engineering
- Teacher: Prof. Somnath Sengupta
- Level: Undergraduate
- Language: English
- Subjects: Engineering, Society and politics
- Source: [NPTEL](https://nptel.ac.in/courses/117105084)
- Licence: [CC BY-NC-SA](https://nptel.ac.in/faq) (Non-commercial use only.)
- Syllabus: [at the source](https://nptel.ac.in/courses/117105084)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

## Lectures

1. [Introduction to Artificial Neural Networks](https://invisiblenetwork.ai/learn/nptel/117105084/9861936090c9) (Video)
2. [Artificial Neuron Model and Linear Regression](https://invisiblenetwork.ai/learn/nptel/117105084/1bced41ae5ab) (Video)
3. [Gradient Descent Algorithm](https://invisiblenetwork.ai/learn/nptel/117105084/8e7d39aa46c9) (Video)
4. [Nonlinear Activation Units and Learning Mechanisms](https://invisiblenetwork.ai/learn/nptel/117105084/0db3a0ddf17c) (Video)
5. [Learning Mechanisms-Hebbian,Competitive,Boltzmann](https://invisiblenetwork.ai/learn/nptel/117105084/fce57261c266) (Video)
6. [Associative memory](https://invisiblenetwork.ai/learn/nptel/117105084/1ad1bfa4ca12) (Video)
7. [Associative Memory Model](https://invisiblenetwork.ai/learn/nptel/117105084/e35876ac6d35) (Video)
8. [Condition for Perfect Recall in Associative Memory](https://invisiblenetwork.ai/learn/nptel/117105084/0e2d79a4aa5e) (Video)
9. [Statistical Aspects of Learning](https://invisiblenetwork.ai/learn/nptel/117105084/63f2f350fc57) (Video)
10. [V.C. Dimensions: Typical Examples](https://invisiblenetwork.ai/learn/nptel/117105084/a8ddd21e0c71) (Video)
11. [Importance of V.C. Dimensions Structural Risk Minimization](https://invisiblenetwork.ai/learn/nptel/117105084/b6899648e8e3) (Video)
12. [Single-Layer Perceptions](https://invisiblenetwork.ai/learn/nptel/117105084/4d65f3f6f409) (Video)
13. [Unconstrained Optimization: Gauss-Newton's Method](https://invisiblenetwork.ai/learn/nptel/117105084/2f5bd886bf7d) (Video)
14. [Linear Least Squares Filters](https://invisiblenetwork.ai/learn/nptel/117105084/d53f2f7892b2) (Video)
15. [Least Mean Squares Algorithm](https://invisiblenetwork.ai/learn/nptel/117105084/0777288ee1b1) (Video)
16. [Perceptron Convergence Theorem](https://invisiblenetwork.ai/learn/nptel/117105084/ffdefe7826d1) (Video)
17. [Bayes Classifier & Perceptron: An Analogy](https://invisiblenetwork.ai/learn/nptel/117105084/9df9218ba330) (Video)
18. [Bayes Classifier for Gaussian Distribution](https://invisiblenetwork.ai/learn/nptel/117105084/dd7309833c77) (Video)
19. [Back Propagation Algorithm](https://invisiblenetwork.ai/learn/nptel/117105084/d0c22eec8c19) (Video)
20. [Practical Consideration in Back Propagation Algorithm](https://invisiblenetwork.ai/learn/nptel/117105084/926ff695cb64) (Video)
21. [Solution of Non-Linearly Separable Problems Using MLP](https://invisiblenetwork.ai/learn/nptel/117105084/fbd1f93c481f) (Video)
22. [Heuristics For Back-Propagation](https://invisiblenetwork.ai/learn/nptel/117105084/b3511720ae4b) (Video)
23. [Multi-Class Classification Using Multi-layered Perceptrons](https://invisiblenetwork.ai/learn/nptel/117105084/6c0c3960b9fe) (Video)
24. [Radial Basis Function Networks: Cover's Theorem](https://invisiblenetwork.ai/learn/nptel/117105084/ab096d48153c) (Video)
25. [Radial Basis Function Networks: Separability & Interpolation](https://invisiblenetwork.ai/learn/nptel/117105084/b1d64522abde) (Video)
26. [Posed Surface Reconstruction](https://invisiblenetwork.ai/learn/nptel/117105084/80ab7111c523) (Video)
27. [Solution of Regularization Equation: Greens Function](https://invisiblenetwork.ai/learn/nptel/117105084/ee8f2990aa50) (Video)
28. [Use of Greens Function in Regularization Networks](https://invisiblenetwork.ai/learn/nptel/117105084/e5f8a91f8ac5) (Video)
29. [Regularization Networks and Generalized RBF](https://invisiblenetwork.ai/learn/nptel/117105084/fd82a89ab13a) (Video)
30. [Comparison Between MLP and RBF](https://invisiblenetwork.ai/learn/nptel/117105084/a3522fec116b) (Video)
31. [Learning Mechanisms in RBF](https://invisiblenetwork.ai/learn/nptel/117105084/6668ee3265ea) (Video)
32. [Introduction to Principal Components and Analysis](https://invisiblenetwork.ai/learn/nptel/117105084/f0042d82155a) (Video)
33. [Dimensionality reduction Using PCA](https://invisiblenetwork.ai/learn/nptel/117105084/a9f76194fe6f) (Video)
34. [Hebbian-Based Principal Component Analysis](https://invisiblenetwork.ai/learn/nptel/117105084/e34b8c652c09) (Video)
35. [Introduction to Self Organizing Maps](https://invisiblenetwork.ai/learn/nptel/117105084/5571689d3eb6) (Video)
36. [Cooperative and Adaptive Processes in SOM](https://invisiblenetwork.ai/learn/nptel/117105084/551318bb9ba3) (Video)
37. [Vector-Quantization Using SOM](https://invisiblenetwork.ai/learn/nptel/117105084/5f476e520528) (Video)