Deep Learning detail syllabus for Information Technology (IT), 2021-22 scheme is taken from AKTUs official website and presented for the AKTU B.Tech students. For the course code (KCS078), exam duration, teaching hr/week, practical hr/week, total marks, internal marks, theory marks, duration, credits, and other details do visit complete semester subjects post given below.
For the IT 7th Sem Syllabus for AKTU B.Tech 2021-22 Scheme you can visit IT 7th Sem 2021-22 Scheme. For the Departmental Elective-5 scheme of IT 7th Sem 2021-22 regulation do refer to Departmental Elective-5 IT 7th Sem scheme. The detail syllabus for deep learning is as follows.
Course Outcomes:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Unit I
INTRODUCTION : Introduction to machine learning- Linear models (SVMs and Perceptrons, logistic regression)- Intro to Neural Nets: What a shallow network computes- Training a network: loss functions, back propagation and stochastic gradient descent- Neural networks as universal function approximates
Unit II
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Unit III
DIMENTIONALITY REDUCTION 9 Linear (PCA, LDA) and manifolds, metric learning – Auto encoders and dimensionality reduction in networks – Introduction to Convnet – Architectures -AlexNet, VGG, Inception, ResNet – Training a Convnet: weights initialization, batch normalization, hyper parameter optimization
Unit IV
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Unit V
CASE STUDY AND APPLICATIONS : Image net- Detection-Audio Wave Net-Natural Language Processing Word2Vec – Joint Detection-Bioinformatics- Face Recognition- Scene UnderstandingGathering Image Captions
Text Books:
- Cosma Rohilla Shalizi, Advanced Data Analysis from an Elementary Point of View, 2015.
- Deng & Yu, Deep Learning: Methods and Applications, Now Publishers, 2013.
- Ian Goodfellow, Yoshua Bengio, Aaron Courville, Deep Learning, MIT Press, 2016.
- Michael Nielsen, Neural Networks and Deep Learning, Determination Press, 2015.Mapping with MOOCS: https://onlinecourses.nptel.ac.in/noc18_cs41/preview
For the syllabus of all the subjects of B.Tech IT 7th Sem, 2021-22 scheme do visit IT 7th Sem syllabus subjects.
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.