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 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
This "Face Recognition using Deep Learning" course is an instructor-led training (ILT). The trainer travels to your office location and delivers the training within your office premises. If you need training space for the training we can provide a fully-equipped lab with all the required facilities. The online instructor-led training is also available if required. Online training is live and the instructor's screen will be visible and voice will be audible. Participants screen will also be visible and participants can ask queries during the live session.
Participants will be provided "Face Recognition using Deep Learning"-specific study material. Participants will have lifetime access to all the code and resources needed for this "Face Recognition using Deep Learning". Our public GitHub repository and the study material will also be shared with the participants.
All the courses from zekeLabs are hands-on courses. The code/document used in the class will be provided to the participants. Cloud-lab and Virtual Machines are provided to every participant during the "Face Recognition using Deep Learning" training.
The "Face Recognition using Deep Learning" training varies several factors. Including the prior knowledge of the team on the subject, the objective of the team learning from the program, customization in the course is needed among others. Contact us to know more about "Face Recognition using Deep Learning" course duration.
The "Face Recognition using Deep Learning" training is organised at the client's premises. We have delivered and continue to deliver "Face Recognition using Deep Learning" training in India, USA, Singapore, Hong Kong, and Indonesia. We also have state-of-art training facilities based on client requirement.
Our Subject matter experts (SMEs) have more than ten years of industry experience. This ensures that the learning program is a 360-degree holistic knowledge and learning experience. The course program has been designed in close collaboration with the experts working in esteemed organizations such as Google, Microsoft, Amazon, and similar others.
Yes, absolutely. For every training, we conduct a technical call with our Subject Matter Expert (SME) and the technical lead of the team that undergoes training. The course is tailored based on the current expertise of the participants, objectives of the team undergoing the training program and short term and long term objectives of the organisation.
Drop a mail to us at [email protected] or call us at +91 8041690175 and we will get back to you at the earliest for your queries on "Face Recognition using Deep Learning" course.
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