Provide students with a comprehensive understanding of deep learning concepts and techniques, as well as practical skills for implementing and evaluating deep learning models on real-world problems.
CILO
On Completion of this course, the learner will be able to
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Learning Outcome Description
1
Develop a deep understanding of specialized concepts and techniques of deep learning including neural network architectures and algorithms.
2
Acquire and apply practical skills in using deep learning frameworks to develop and train neural network models.
3
Analyze and evaluate the performance of deep learning models on various datasets and tasks.
4
Explore advanced topics in deep learning and apply these techniques to solve real-world problems.
Requisites
Pre Requisite: IT9101 Mathematical Foundations and Quantitative Analysis
Examinations
Assessment Type Examination (Practical)
No Other Controlled Assessments
Uncontrolled Assessments
Assessment Type Lab Assignment
Assessment Type Project (Individual)
The institute reserves the right to alter the nature and timings of assessment
