Duration
3 days
Pre-requisite
Participants should be familiar with python and machine learning concepts
Course Outline
Topic 1 Introduction to computer vision and applications
- Image Analysis and Video Analysis
- Face detection
- Face recognition
- Card identification
- Optical Character Recognition (OCR)
- Violence detection
- Human activity Recognition
- Intrusion Detection
Topic 1 Convolutional Neural Network (CNN)
- Introduction to Convolutional Neural Network?
- ImageDataGenerator
- Image Classification Model with CNN
- Data Augmentation and Dropout
Topic 2 Transfer Learning
- Introduction to Transfer Learning
- Applications of Pre-Trained Models
- Fine Tuning Pre-Trained Models
Topic 3 Recurrent Neural Network (RNN)
- Introduction to Recurrent Neural Network (RNN)
- LSTM and GRU
- Build a RNN Model for Time Series Forecasting
- Build a RNN Model for Sentiment Analysis
Topic 4 Object detection
- RCNN, faster RCNN
- YOLO
- SSD
- EfficientDet
Topic 5 Face Detection and Recognition project
- face detector
- face recognizer
Topic 6 identity card project
- text detection
- text recognition
Topic 7 Human activity recognition project
- Vision based HAR system
- Violence detection
Programme scope, delivery arrangements and suitability are confirmed during enquiry.