Facial Expression Classification Using Residual Neural Nets
Course Features
Duration
2 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Beginner
Teaching Type
Self Paced
Video Content
2 hours
Course Description
Course Overview
Virtual Labs
International Faculty
Case Based Learning
Post Course Interactions
Case Studies,Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
What You Will Learn
Understand the theory and intuition behind Deep Neural Networks, and Residual Neural Networks, and Convolutional Neural Networks (CNNs)
Build and train a deep learning model based on Convolutional Neural Network and Residual blocks using Keras with Tensorflow 20 as a backend
Assess the performance of trained CNN and ensure its generalization using various Key performance indicators
Course Instructors
Course Reviews
Average Rating Based on 4 reviews
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