Lecture Notes || SNS Courseware

Subject Details

Dept : AIML

Sem : 6

Regul : 2019

Faculty : Mr.A.Stephan Rufus

phone : NIL

E-mail : srufus.a.aiml@snsct.org

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Lecture Notes

UNIT 1:

Introduction to machine learning

Linear models (SVMs and Perceptrons)

Linear models (logistic regression)

UNIT 2:

Shallow Networks

Back propagation and regularization

Convolutional Networks

Generative Adversarial Networks (GAN)

UNIT 3:

AlexNet, VGG

Inception, ResNet

Architectures

UNIT 4:

LSTM

Optimization in deep learning

UNIT 5:

Imagenet-

Lecture Notes