Deep Learning IT 8th Sem Syllabus for AKTU B.Tech 2019-20 Scheme (Departmental Elective-6)

Deep Learning detail syllabus for Information Technology (IT), 2019-20 scheme is taken from AKTU official website and presented for AKTU students. The course code (RCS-086), and for exam duration, Teaching Hr/Week, Practical Hr/Week, Total Marks, internal marks, theory marks, and credits do visit complete sem subjects post given below.

For all other it 8th sem syllabus for b.tech 2019-20 scheme aktu you can visit IT 8th Sem syllabus for B.Tech 2019-20 Scheme AKTU Subjects. For all other Departmental Elective-6 subjects do refer to Departmental Elective-6. The detail syllabus for deep learning is as follows.

Unit I

For the complete syllabus, results, class timetable and more kindly download iStudy. It’s a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.

Unit II

DEEP NETWORKS : History of Deep Learning-A Probabilistic Theory of Deep Learning-Backpropagation and regularization, batch normalization-VC Dimension and Neural Nets-Deep Vs Shallow Networks-Convolutional Networks-Generative Adversarial Networks (GAN), Semisupervised Learning .

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, hyperparameter optimization.

Unit IV

For the complete syllabus, results, class timetable and more kindly download iStudy. It’s a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.

Unit V

CASE STUDY AND APPLICATIONS : Imagenet-Detection-Audio WaveNet-Natural Language Processing Word2Vec-Joint Detection-Bioinformatics-Face Recognition-Scene UnderstandingGathering Image Captions.

Reference Books:

1. Cosma Rohilla Shalizi, Advanced Data Analysis from an Elementary Point of View, 2015.
2. Deng & Yu, Deep Learning: Methods and Applications, Now Publishers, 2013.
3. Ian Goodfellow, Yoshua Bengio, Aaron Courville, Deep Learning, MIT Press, 2016.
4. Michael Nielsen, Neural Networks and Deep Learning, Determination Press, 2015.

For detail syllabus of all other subjects of B.Tech It, 2019-20 regulation do visit It 8th Sem syllabus for 2019-20 Regulation.

Don’t forget to download iStudy for the latest syllabus, results, class timetable and more.