21.11.23

JNTUK B.Tech 4-1 Sem(R20) Deep Learning Techniques Material Download

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 JNTUK B.Tech 4-1 Sem(R20) Deep Learning Techniques Material Download: JNTU Kakinada B.Tech 4th Year 1st Sem Deep learning material is now available available for downloading. By reading this JNTUK Deep learning techniques material you can get good marks in your examination.


UNIT I:
Fundamentals of Deep Learning:
Artificial Intelligence, History of Machine learning: Probabilistic Modeling, Early Neural Networks, Kernel Methods, Decision Trees, Random forests and Gradient Boosting Machines, Fundamentals of Machine Learning: Four Branches of Machine Learning, Evaluating Machine learning Models, Overfitting and Underfitting.

Download UNIT-I Material Here
 

UNIT II

Introducing Deep Learning: Biological and Machine Vision, Human and Machine Language, Artificial Neural Networks, Training Deep Networks, Improving Deep Networks.


 Download UNIT-II Material Here

UNIT III

Neural Networks: Anatomy of Neural Network, Introduction to Keras: Keras, TensorFlow, Theano and CNTK, Setting up Deep Learning Workstation, Classifying Movie Reviews: Binary Classification, Classifying newswires: Multiclass Classification.

Download UNIT-III Material Here
 

UNIT IV:

Convolutional Neural Networks: Nerual Network and Representation Learing, Convolutional Layers, Multichannel Convolution Operation, Recurrent Neural Networks: Introduction to RNN, RNN Code, PyTorch Tensors: Deep Learning with PyTorch, CNN in PyTorch.

Download UNIT-IV Material Here
 

UNIT V:
Interactive Applications of Deep Learning:
Machine Vision, Natural Language processing, Generative Adversial Networks, Deep Reinforcement Learning.

Deep Learning Research: Autoencoders, Deep Generative Models: Boltzmann Machines Restricted Boltzmann Machines, Deep Belief Networks.

Download UNIT-V Material Here 

 

Text Books:

 
1. Deep Learning- Ian Goodfellow, Yoshua Bengio and Aaron Courvile, MIT Press, 2016


2. Deep Learning with Python - Francois Chollet, Released December 2017, Publisher(s): Manning Publications, ISBN: 9781617294433


3. Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence - Jon Krohn, Grant Beyleveld, AglaƩ Bassens, Released September 2019, Publisher(s): Addison-Wesley Professional, ISBN: 97801351168214. Deep Learning from Scratch - Seth Weidman, Released September 2019, Publisher(s): O'Reilly Media, Inc., ISBN: 9781492041412


Reference Books:


1. Artificial Neural Networks, Yegnanarayana, B., PHI Learning Pvt. Ltd, 2009.
2. Matrix Computations, Golub, G.,H., and Van Loan,C.,F, JHU Press,2013.
3. Neural Networks: A Classroom Approach, Satish Kumar, Tata McGraw-Hill Education, 2004

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