Deep Learning, CV on Images & Video Analysis

 Live Online Instructor-led Training on

Applied Deep Learning, Computer Vision for Images & Video Analysis

Module 1: Introduction to Machine Learning

Module 2: Python Fundamentals [CORE]

Module 3: Data scanning– Visualization operate Python

Module 4: Working with Images and Video

Module 5: Face Detection Using HAAR CASCADE

Module 6: KNN (K- Nearest Neighbours)

Module 7: Logistic Regression

Module 8: Module FACE RECOGNITION 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 utilyze OpenCV

Project 1: Face Acceptance using OpenCV & K-Nearest Neighbours Algorithm programme classifying

Project 2: Facial features/ feelings Detection utilyze Deep Learning (CNN)

Project 3: Face Mask Observation and Classification using Deep Learning CNN and OpenCV for real-time recognition.

Project 4: Object Detection victimisation laptop Vision and Deep Learning

Project 5: Traffic Sign Image Classification for Self-Driving automotive

Project 6: Social Distancing Detector victimisation laptop Vision and Deep Learning API Keras

Project 7: Brain Magnetic resonance imaging Medical Image Segmentation Victimisation U-Net

Project 8: Human cause estimation utilyze Deep Learning in OpenCV

Training includes:

Total 30+ Hours live online Instructor-led Training with Projects.

Training Includes: Coaching PPT expect code & Coaching Recording

A Coaching certificate of completion is going to be provided to every participant by Eduxlabs in association with Mechanical IIT Madras.

Who can attend?

2-weeks Coaching is best appropriate for Engineering college faculty, Analysis scholars, students & Operating IT professionals.