Face Recognition using Deep Learning Training in Bangalore - ZekeLabs Best Face Recognition using Deep Learning Training Institute in Bangalore India
Face Recognition using Deep Learning-training-in-bangalore-by-zekelabs

Face Recognition using Deep Learning Training

Face Recognition using Deep Learning Course: Face Recognition is one of the main applications of computer vision. In this course everything from image classification, detection, localization etc. will be discussed in details. All deep learning concepts will be dealt with from hands on perspective. By the end of the course learner can expect to be mater to these topics
Face Recognition using Deep Learning-training-in-bangalore-by-zekelabs
Assignments
Face Recognition using Deep Learning-training-in-bangalore-by-zekelabs
Industry Level Projects
Face Recognition using Deep Learning-training-in-bangalore-by-zekelabs
Certification

Face Recognition using Deep Learning Course Curriculum



Introduction to Numpy
Introduction to OpenCV
Reading/Writing different format of Images
Domain and Range Transformation
Transformation of Images - Rotation, rescaling, blurring,etc
Foreground Background Separation
HOG Features
HOG Features + SVM based Face Detection
Assignment 4 : Create a Face Detection Algorithm using HOG and SVM
Fundamentals of Machine Learning (Pipeline)
Gradient Descent
Assignment 5 : Training IRIS dataset for classification
Convolutional Layers vs Fully Connected Layers
Activation, Loss, Dropout
Optimizers
Assignment 7 : Training CIFAR dataset
Basic pipeline ImageNet
Residual Layers in ResNet
Assignment 8 : Display Layer Configuration of the above architectures in Keras
Understanding RCNN Framework
Intuition behind SSD
Setup of OpenCV on System
Assignment 9: Deploy YOLOv3 Object Detection for a Video Input Data
Getting data in right shape & Popular datasets
Face Alignment
Connecting all the components
Data Shape
Augmentation via noise - data & label
Datasets available for face detection
Benchmarking results
Assignment 10 : Finetune Yolo v3 for WIDER Face dataset
Fiducial Points in Face
Assignment 11 : Basic Face Alignment using OpenCV
Broad classification face identification algo
Handling subject independent scenario
Benchmarking results
Take the video with 10 subjects
Face Alignment and Cropping the regions
Do's and Don'ts for Face Recognition

Frequently Asked Questions


We have options for classroom-based as well as instructor led live online training. The online training is live and the instructors screen will be visible and voice will be audible. Your screen will also be visible and you can ask queries during the live session.

The training on "Face Recognition using Deep Learning" course is a hands-on training. All the code and exercises will be done in the live sessions. Our batch sizes are generally small so that personalized attention can be given to each and every learner.

We will provide course-specific study material as the course progresses. You will have lifetime access to all the code and basic settings needed for this "Face Recognition using Deep Learning" through our GitHub account and the study material that we share with you. You can use that for quick reference

Feel free to drop a mail to us at info@zekelabs.com and we will get back to you at the earliest for your queries on "Face Recognition using Deep Learning" course.

We have tie-ups with a number of hiring partners and and placement assistance companies to whom we connect our learners. Each "Face Recognition using Deep Learning" course ends with career consulting and guidance on interview preparation.

Minimum 2-3 projects of industry standards on "Face Recognition using Deep Learning" will be provided.

Yes, we provide course completion certificate to all students. Each "Face Recognition using Deep Learning" training ends with training and project completion certificate.

You can pay by card (debit/credit), cash, cheque and net-banking. You can also pay in easy installments. You can reach out to us for more information.

We take pride in providing post-training career consulting for "Face Recognition using Deep Learning".



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