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- Introduction
- Machine learning
Application of Deep Learning and Neural Networks
Quick Facts
| particular | details | |||||
|---|---|---|---|---|---|---|
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Collaborators
TCS
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video and Text Based
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number of course credit
5
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Course overview
The Application of Deep Learning and Neural Networks Online Course is a digital course that discusses basic to advanced concepts of neural networks and deep learning. The course led by domain experts helps learners understand the practical applications of deep learning and artificial neural networks.
After completing the Application of Deep Learning and Neural Networks Certification by TCS iON, learners will get awarded a certificate of achievement. The course will be delivered through digital learning resources and digital lectures and evaluated through industry assignments, practice assessments and a final summative assessment.
The highlights
- Certificate of achievement
- Verifiable digital certificate
- English medium
- Digital learning resources
- Digital lectures
- Practice assessments
- Industry assignments
- Summative assessment
- Industry connect community
- Academic connect community
- Renowned industry experts
- Business case studies
- Internship and job opportunity
Program offerings
- Certificate of achievement
- Verifiable digital certificate
- 5 to 6 months duration
- English medium
- Digital learning resources
- Digital lectures
- Practice assessments
- Industry assignments
- Business case studies
- Summative assessment
Course and certificate fees
Fees information
₹ 20,000 (Inclusive of GST)
Application of Deep Learning and Neural Networks Certification Fees
| Course | Fee in INR |
| Application of Deep Learning and Neural Networks | Rs. 20,000 |
certificate availability
Yes
certificate providing authority
TCS iON
Who it is for
Eligibility criteria
- Candidates should preferably have prior knowledge of mathematics including Linear Algebra: Matrices and Vectors, Calculus: Differentiation, Partial Derivatives and Gradient, and Statistics: Normal Distribution, Probability.
- Candidates should possess knowledge of Basic Programming in Python, Data Processing using NumPy, Scipi, Matplotlib and Pandas along with the basic usage of Scikit, Scikit-learn packages in Python.
- Candidates are recommended to have completed the course "TCS iON Industry Honour Certification - Machine Learning for Real-World Application"
What you will learn
Machine learning
Knowledge of artificial intelligence
Knowledge of deep learning
After finishing the Application of Deep Learning and Neural Networks Certification Classes, you will gain insights into these topics:
- Preliminaries
- Basics of Neural Networks
- Deep Neural Networks
- Artificial Neural Networks
- Emerging Trends
- Natural Language Processing
- Deep Learning
The syllabus
Preliminaries
Basics of Neural Networks
- Artificial neural networks
- Popular networks
- Popular tools
- Case studies
- The human brain
Deep Neural Networks - 1
- Introduction to Deep Learning (DL)
- Convolutional Neural Networks (CNN)
- Modern CNN architectures
- Image classification using CNN
Deep Neural Networks - 2
- Recurrent Neural Networks (RNN) & LSTM
- Word vector representations
- Sentiment analysis
- Sentence classification
- Application in Natural Language Processing (NLP)
Emerging Trends
- Attention mechanisms and memory networks
- Embeddings from LASER
Admission details
Given below are the steps to enroll in the Application of Deep Learning and Neural Networks Course:
Step 1: Go to the official website by clicking on the URL given below -https://www.tcsion.com/courses/industry-honour-course/deep-learning-neural-networks/
Step 2: Click on the "Activate Now" option.
Step 3: If you are a new user then sign up or sign in with your credentials.
Step 4: Fill in the required details to proceed.
How it helps
The Application of Deep Learning and Neural Networks Certification Benefits are given below:
- The course provides learners with a detailed understanding of the concepts of deep learning and neural networks.
- The Application of Deep Learning and Neural Networks Certification syllabus is designed by subject experts.
- The course allows learners to gain knowledge to build a career as a data analyst, data scientist or data engineer.
Instructors
Dr Asif Ekbal
Associate Professor
IIT Patna
FAQs
What is the number of credits provided by the course?
The Application of Deep Learning and Neural Networks Online Course offers 5 credit points.
What are the total marks of summative assessment?
The summative assessment is of 100 marks including the two parts, Part A and Part B.
Will I get a certificate if I don't take the summative assessment?
If a candidate does not attend the summative assessment, they will only receive a certificate of participation.
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