2-Weeks Live Online Training
2-weeks Live Online Instructor-led Training on
Applied Deep Learning, Computer Vision for Images & Video Analysis
Dates: 30th Jan - 10th Feb 2023
Training Timing: 6:PM to 9:PM IST
Duration: 30-Hrs | 2-weeks
`
2-weeks Training Outlines
- Module 1: Introduction to Machine Learning
- Module 2: Python Fundamentals [CORE]
- Module 3: Data Analysis – Visualization Using Python
- Module 4: Working with Images and Video
- Module 5: Face Detection Using HAARCASCADE
- Module 6: KNN (K- Nearest Neighbours)
- Module 7: Logistic Regression
- Module 8: Module FACE RECOGNISATION using OpenCV
- Module 9: Artificial Neural Networks
- Module 10: Artificial Neural Network Classification
- Module 11: TensorFlow
- Module 12: CNNs (Convolutional Neural Networks)
- Module 13:IMAGE SEGMENTATION
Training Projects :
- Project 1: Face, Eye, Smile Detection using OpenCV
- Project 1: Face Recognition using OpenCV & K-Nearest Neighbours Algorithm Classification
- Project 2: Facial Expression / Emotion Detection using Deep Learning (CNN)
- Project 3: Face Mask Detection and Classification using Deep Learning CNN and OpenCV for real-time recognition.
- Project 4: Object Detection using Computer Vision and Deep Learning
- Project 5: Traffic Sign Image Classification for Self-Driving Car
- Project 6: Social Distancing Detector using Computer Vision and Deep Learning API Keras
- Project 7: Brain MRI Medical Image Segmentation using U-Net
- Project 8: Human pose estimation using Deep Learning in OpenCV
Training includes:
- Total 30+ Hours live online Instructor-led Training with Projects.
- Training Includes: Training PPT's Projects code & Training Recording
- A training certificate of completion will be provided to each participant by Eduxlabs in association with Mechanica IIT Madras.
Who can attend?
- 2-weeks Training is best suitable for Engineering college faculty, Research scholar, students & Working IT professionals.
Please feel free to contact us
Team EduxLabs
(Esoir Business Solution )
M: +91- 7053133032 | 8851533667