CHAITANYA BHARATHI INSTITUTE OF TECHNOLOGY (A)
  • Neural Networks and Deep Learning(PE-V)-VII-2021-22
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  • Course data
    General
    Announcements
    Topic 1
    03/08/2021 9.10 am to 10.10 am Introduction
    04/08/2021 11.30 am to 12.30 pm Introduction
    06/08/2021 9.10 am to 10.10 am Fundamentals of ANN
    10/08/2021 9.10 am to 10.10 am Fundamentals of ANN
    11/08/2021 11.30 am to 12.30 pm Fundamentals of ANN
    13/08/2021 9.10am to 10.10 am Evolution of Neural Networks
    17/08/2021 9.10 am to 10.10 am Basic Models of ANN
    18/08/2021 11.30 am to 12.30 pm Important terminologies of ANNs. McCulloch-Pitts neuron
    24/08/2021 9.10 am to 10.10 am Perceptron Learning Algorithm
    25/08/2021 11.30 am to 12.30 pm Feed Forward Neural Networks
    27/08/2021 9.10 am to 10.10 am Adaline
    01/09/2021 11.30 am to 12.30 pm Madaline
    03/09/2021 9.10 am to 10.10 am Madaline
    08/09/2021 11.30 am to 12.30 pm Back Propagation
    11/09/2021 9.10 am to 10.10 am Gradient Descent
    17/09/2021 9.10 am to 10.10 am Momentum Based GD, Nesterov Accelerated GD
    23/09/2021 1.10 pm to 3.20 pm KSOFM, ART
    24/09/2021 9.10 am to 11.20 am BAM, Hopfield Networks
    01/10/2021 9.10 am to 10.10 am Relation to PCA, Autoencoders
    05/10/2021 9.10 am to 10.10 am Denoising Autoencoders
    08/10/2021 9.10 am to 10.10 am Sparse auto encoders, Contractive auto encoders
    12/10/2021 9.10 am to 10.10 am L2 regularization, Early stopping
    13/10/2021 11.30 am to 12.30 pm Dataset augmentation, Parameter sharing and tying
    20/10/2021 11.30 am to 12.30 pm Injecting noise at input, Ensemble methods, Dropout
    22/10/2021 9.10 am to 10.10 am Greedy Layer wise Pre-training, Better activation functions, Better weight initialization methods, Batch Normalisation
    Lecture Notes, Text Books, Ppts
    Text Book_Principles of Soft Computing by Sivanandam and Deepa
    Text Book_Ian Goodfellow_ Deep Learning
    NNDL Syllabus
    NNDL Lecture Notes
    Optimization Algorithms (Unit-II)
    NNDL PPT
    Internal Marks
    Assignments, Slip Tests
    Assignment-1
    Slip Test-1
    Assignment2
    Slip Test-2
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    Neural Networks and Deep Learning(PE-V)-VII-2021-22
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    Course info

    1. Home
    2. Courses
    3. Computer Science and Engineering
    4. UG
    5. Academic Year - 2021-22
    6. VII Semester
    7. Neural Networks and Deep Learning(PE-V)-VII-2021-22
    8. Summary

    Neural Networks and Deep Learning(PE-V)-VII-2021-22

    • Teacher: Dr. Kolla Morarjee Associate Professor
    Skill Level: Beginner

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