Artificial Neural Networks detailed syllabus for Cloud Computing & Big Data (CC) for 2021 revision curriculum has been taken from the SITTTRs official website and presented for the Cloud Computing & Big Data (CC) students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Cloud Computing & Big Data 6th Sem scheme and its subjects, do visit Cloud Computing & Big Data (CC) 6th Sem 2021 regulation scheme. For Professional Elective-III scheme and its subjects refer to Cloud Computing & Big Data (CC) Professional Elective-III syllabus scheme. The detailed syllabus of artificial neural networks is as follows.
Course Objectives:
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Course Outcomes:
On completion of the course, the student will be able to:
- Illustrate Artificial Neuron inspired from Biological Neuron
- Describe Basics of Artificial Neural Network
- Demonstrate Convolutional Neural Network 1
- Outline Recurrent Neural Network
Module 1:
Biological neurons, Logical computations with neurons- McCulloch and Pitts Neuron, Artificial Neuron, Perceptron – Linear Threshold Unit (LTU)- Perceptron Learning Rule, MLP- Multilayer Feedforward network, Backpropagation, Learning algorithms -Gradient Descent, Loss function/cost function – Mean Squared Error ( MSE), Entropy, Cross Entropy Activation functions – Step function, Sigmoid, Tanh, ReLU, Leaky ReLU, Softmax
Module 2:
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Module 4:
Recurrent Neural Network (RNN) concepts, memory cells, Selective Read, Write, Forget. Concept and working of LSTM, Auto Encoder Applications of RNN- Natural language Processing, Image capturing, Video classification Application of Autoencoder – Clustering, Feature extraction
Text Books:
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..
- Deep Learning by Ian Goodfellow, Yoshuva Bengio and Aaron Courvile, The MIT Press
- Machine Learning by Tom Mitchell, McGraw-Hill Press, 1997
For detailed syllabus of all other subjects of Cloud Computing & Big Data, 2021 revision curriculum do visit Cloud Computing & Big Data (CC) 6th Sem subject syllabuses for 2021 revision.
To see the syllabus of all other branches of diploma 2021 revision curriculum do visit SITTTR diploma all branches syllabus..
To see the results of Cloud Computing & Big Data of diploma 2021 revision curriculum do visit SITTTR diploma results..
For all Cloud Computing & Big Data academic calendars, visit Cloud Computing & Big Data all semesters academic calendar direct link.