Curriculum
- 4 Sections
- 32 Lessons
- 48 Weeks
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- IndexThis is the module with maximum weightage and lengthy concepts & sums! 13 videos on ANN.15
- 2.1Learning and Types of Learning C7 Minutes
- 2.2Soft computing vs Hard computing and Supervised learning vs Unsupervised Learning10 Minutes
- 2.3Derivation of Unipolar Continuous Function.7 Minutes
- 2.4Derivation of Bipolar Continuous Function11 Minutes
- 2.5Self Organizing Maps and KSOMs10 Minutes
- 2.6Perceptron Learning (with solved example)11 Minutes
- 2.7Backpropagation Network (with solved example)19 Minutes
- 2.8Introduction to ANN and structure of ANN6 Minutes
- 2.9Activation functions in ANN (Discrete and Continuous)4 Minutes
- 2.10Neural Network Architecture5 Minutes
- 2.11Hebbs Network/Hebbian Learning (with solved example)17 Minutes
- 2.12Linear Separability4 Minutes
- 2.13Winners-Takes-All5 Minutes
- 2.14Mc-Culloch-Pitts Neural Model3 Minutes
- 2.15Linear Vector Quantization (LVQs)5 Minutes
- FUZZY Logic9 videos on Fuzzy Logic in Soft Computing.13
- 3.1Introduction to Fuzzy Logic5 Minutes
- 3.2Fuzzification and De-Fuzzification7 Minutes
- 3.3Properties and Operation of Crisp and Fuzzy Sets6 Minutes
- 3.4Crisp and Fuzzy Sets and Relations11 Minutes
- 3.5Fuzzy Membership Function8 Minutes
- 3.6Fuzzy Extension Principle4 Minutes
- 3.7Lambda Cut/Alpha Cut5 Minutes
- 3.8Max-Min Max-Product Fuzzy Composition (with solved example)11 Minutes
- 3.9Mamdani Fuzzy Model (Fuzzy Controller) with Solved Example33 Minutes
- 3.10Intro to Hybrid Systems4 Minutes
- 3.11Neuro-Fuzzy System (Co-Operative and General NFS)8 Minutes
- 3.12Fuzzy Inference System7 Minutes
- 3.13ANFIS9 Minutes
- Notes3
- Viva Questions1