Subject Details
Dept     : CS
Sem      : 5
Regul    : 2018
Faculty : Ms.M.Praveena
phone  : 9865554616
E-mail  : praveenamarannan@gmail.com
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  • Resource Link

    Dear Students the Resource Link has been uploaded for the following topics:
    Linear Regression with Stochastic Gradient Descent
    HyperParameters in Machine Learning
    Gradient Descent for Machine Learning

  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:
    Neural Network Architecture,
    Basic Concepts of Genetic Algorithm,
    Back Propagation learning Methods,
    Neuron and Nerve Structure,
    Multilayer Perceptron model,
    Perceptron Model

  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:
    Artificial Neural Network

  • Youtube Video

    Dear Students the Youtube Video has been uploaded for the following topics:
    Neural Network
    Genetic Algorithm- working Principle
    How genetic algorithm evolves
    Example of genetic Algorithm
    Learning rule in NN
    Back propagation Algorithm
    Example of Back propagation algorithm
    Multilayer Perceptron
    Example of Perceptron
    Basics of Perceptron in NN

  • Resource Link

    Dear Students the Resource Link has been uploaded for the following topics:
    ANN
    Types of Neural Network and Activation Function
    Associative Memory
    Learning and Adaption
    Introduction to Artificial Neural Networks
    Applications of neural networks
    perceptron
    Neural network and genetic algorithm
    Supervised Learning
    Unsupervised learning
    Fundamentals of genetic Algorithm
    Population in Genetic Algorithm
    Fitness Function in GA
    Selection in GA
    Cross over in Genetic Algorithm
    Mutation in GA
    Genetic Algorithm
    Back propagation Algorithm