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Unit 6: Computer Vision (To Be Assessed Through Practicals)

SUB-UNIT LEARNING OUTCOMES SESSION/ACTIVITY/PRACTICAL
Introduction to Lobe: https://www.lobe.ai/

Teachable Machine: https://teachablemachine.
withgoogle.com/

To demonstrate proficiency in using no-code ● Activity: Build a Smart Sorter
AI tools for computer vision projects. To Orange Data Mining Tool: https://
deploy models, fine-tune parameters, and orangedatamining.com/download/
No-Code AI Tools
interpret results. Skills acquired include data ● Activity: Build a real-world Classification Model:
preprocessing, model selection, and project Coral Bleaching (Use Case Walkthrough)
deployment.
● Link to the steps involved in project development
and dataset: https://drive.google.com/drive/
folders/1ppJ 4d- 8yOFJ2G22rHHpjNrK0ejdIAe5Q?
usp=sharing

Session: Understanding Convolution operator
Image Features & Apply the convolution operator to process
Convolution Operator images and extract useful features.
Activity: Convolution Operator

Session: Introduction to CNN

Understand the basic architecture of a CNN Session: Understanding CNN
Convolution Neural and its applications in computer vision and ● Kernel
Network
image recognition. ● Layers of CNN

Activity: Testing CNN

Unit 7: Natural Language Processing (To be assessed through Theory)

SUB-UNIT LEARNING OUTCOMES SESSION/ACTIVITY/PRACTICAL

Comprehend the complexities of natural Session: Features of natural languages.
languages and elaborate on the need for
Introduction
NLP techniques for machines to understand
various natural languages effectively. Session: Introduction to Natural Language
Processing

Explore the various applications of NLP in Session: Various real-life applications of NLP
everyday life, such as voice assistants, auto
Applications of Natural generated captions, language translation,
Language Processing
sentiment analysis, text classification and Activity: Keyword Extraction https://cloud.google.
keyword extraction. com/natural-language

Stages of Natural Session: Explore the various stages of NLP that
Language Understand the concepts like lexicon, syntax, involve in understanding and processing human
semantics, and logical analysis of input text.
Processing (NLP) language.