Video Lectures, Video Courses, Science Animations, Lecture Notes, Online Test, Lecture Presentations. Absolutely FREE.

video courses
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

Bookmark with Delicious Bookmark with Digg Bookmark with Facebook Bookmark with Google Bookmark with StumbleUpon Bookmark with Technorati Bookmark with Linkedin Bookmark with Reddit LearnersTV on Twitter