'Unconstrained Optimization: Gauss-Newton's Method' Video Lecture

Unconstrained Optimization: Gauss-Newton's Method

  • Course: Neural Networks and Applications
  • Discipline: Electronics and Communication Engineering
  • Faculty: Prof. Somnath Sengupta
  • Institute: IIT Kharagpur

    • Unconstrained Optimization: Gauss-Newton's Method - Click on the Video Link shown below to play the video on Youtube. Browse through Neural Networks and Applications (Electronics and Communication Engineering) Video Lectures by Prof. Somnath Sengupta from IIT Kharagpur through NPTEL.

    NEXT LECTURE >> Linear Least Squares Filters
    Download this video in MP4, FLV & 3GP formats
    Format  Size  Download
    MP4 235 MB MP4 Video Download Link 1
    FLV 129 MB FLV Video Download Link 1
    3gp 71 MB 3gp Video Download Link 1
    Search Courses
    Course Video Lectures Introduction to Artificial Neural Networks Artificial Neuron Model and Linear Regression Gradient Descent Algorithm Nonlinear Activation Units and Learning Mecha.. Learning Mechanisms-Hebbian,Competitive,Boltz.. Associative memory Associative Memory Model Condition for Perfect Recall in Associative M.. Statistical Aspects of Learning V.C. Dimensions: Typical Examples Importance of V.C. Dimensions Structural Risk.. Single-Layer Perceptions Unconstrained Optimization: Gauss-Newton's Me.. Linear Least Squares Filters Least Mean Squares Algorithm Perceptron Convergence Theorem Bayes Classifier & Perceptron: An Analogy Bayes Classifier for Gaussian Distribution Back Propagation Algorithm Practical Consideration in Back Propagation A.. Solution of Non-Linearly Separable Problems U.. Heuristics For Back-Propagation Multi-Class Classification Using Multi-layere.. Radial Basis Function Networks: Cover's Theor.. Radial Basis Function Networks: Separability .. Posed Surface Reconstruction Solution of Regularization Equation: Greens F.. Use of Greens Function in Regularization Netw.. Regularization Networks and Generalized RBF Comparison Between MLP and RBF Learning Mechanisms in RBF Introduction to Principal Components and Anal.. Dimensionality reduction Using PCA Hebbian-Based Principal Component Analysis Introduction to Self Organizing Maps Cooperative and Adaptive Processes in SOM Vector-Quantization Using SOM
    2015. EngineeringVideoLectures.com