Lec-1 Introduction to Artificial Neural Networks Electronics Engineering 54 min Click to view videos

Video Lecture Description Sub-Category Time Click to view video Back to Engineering Video Lecture Course Page Lec-1 Introduction to Artificial Neural Networks Electronics Engineering 54 min Click to view videos Lec-2 Artificial Neuron Model and Linear Regression Electronics Engineering 58 min Click to view videos Lec-3 Gradient Descent Algorithm Electronics Engineering 57 min Click to view videos Lec-4 Nonlinear Activation Units and Learning Mechanisms Electronics Engineering 58 min Click to view videos Lec-5 Learning Mechanisms-Hebbian,Competitive,Boltzmann Electronics Engineering 57 min Click to view videos Lec-6 Associative memory Electronics Engineering 59 min Click to view videos Lec-7 Associative Memory Model Electronics Engineering 57 min Click to view videos Lec-8 Condition for Perfect Recall in Associative Memory Electronics Engineering 60 min Click to view videos Lec-9 Statistical Aspects of Learning Electronics Engineering 54 min Click to view videos Lec-10 V.C. Dimensions: Typical Examples Electronics Engineering 58 min Click to view videos Lec-11 Importance of V.C. Dimensions Structural Risk Minimization Electronics Engineering 46 min Click to view videos Lec-12 Single-Layer Perceptions Electronics Engineering 56 min Click to view videos Lec-13 Unconstrained Optimization: Gauss-Newtons Method Electronics Engineering 59 min Click to view videos Lec-14 Linear Least Squares Filters Electronics Engineering 58 min Click to view videos Lec-15 Least Mean Squares Algorithm Electronics Engineering 52 min Click to view videos Lec-16 Perceptron Convergence Theorem Electronics Engineering 55 min Click to view videos Lec-17 Bayes Classifier&Perceptron: An Analogy Electronics Engineering 57 min Click to view videos Lec-18 Bayes Classifier for Gaussian Distribution Electronics Engineering 56 min Click to view videos Lec-19 Back Propagation Algorithm Electronics Engineering 56 min Click to view videos Lec-20 Practical Consideration in Back Propagation Algorithm Electronics Engineering 57 min Click to view videos Lec-21 Solution of Non-Linearly Separable Problems Using MLP Electronics Engineering 58 min Click to view videos Lec-22 Heuristics For Back-Propagation Electronics Engineering 58 min Click to view videos Lec-23 Multi-Class Classification Using Multi-layered Perceptrons Electronics Engineering 56 min Click to view videos Lec-24 Radial Basis Function Networks: Covers Theorem Electronics Engineering 57 min Click to view videos Lec-25 Radial Basis Function Networks: Separability&Interpolation Electronics Engineering 57 min Click to view videos Lec-26 Radial Basis Function as ill-Posed Surface Reconstruc Electronics Engineering 58 min Click to view videos Lec-27 Solution of Regularization Equation: Greens Function Electronics Engineering 56 min Click to view videos Lec-28 Use of Greens Function in Regularization Networks Electronics Engineering 57 min Click to view videos Lec-29 Regularization Networks and Generalized RBF Electronics Engineering 49 min Click to view videos Lec-30 Comparison Between MLP and RBF Electronics Engineering 54 min Click to view videos Lec-31 Learning Mechanisms in RBF Electronics Engineering 55 min Click to view videos Lec-32 Introduction to Principal Components and Analysis Electronics Engineering 57 min Click to view videos Lec-33 Dimensionality reduction Using PCA Electronics Engineering 54 min Click to view videos Lec-34 Hebbian-Based Principal Component Analysis Electronics Engineering 50 min Click to view videos Lec-35 Introduction to Self Organizing Maps Electronics Engineering 39 min Click to view videos Lec-36 Cooperative and Adaptive Processes in SOM Electronics Engineering 52 min Click to view videos Lec-37 Vector-Quantization Using SOM Electronics Engineering 52 min Click to view videos