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Emotion Detection using Deep Learning

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CNN_Notebook.ipynb
CNN_Notebook.ipynb
 
 
Cats_vs_dogs_image_classification_from_scratch.ipynb
Cats_vs_dogs_image_classification_from_scratch.ipynb
 
 
Emotion_Detection_Complete_Project.ipynb
Emotion_Detection_Complete_Project.ipynb
 
 
Emotion_Detection_Complete_Project_(1).ipynb
Emotion_Detection_Complete_Project_(1).ipynb
 
 
README.md
README.md
 
 
Session 1 - Introduction to CNN.md
Session 1 - Introduction to CNN.md
 
 
Session 2 - Building CNN from scratch.md
Session 2 - Building CNN from scratch.md
 
 

README.md

Instructor Information

Instructor name Instructor LinkedIn profile Instructor Youtube channel Instructor Instagram profile
Balaji Chippada LinkedIn YouTube Instagram

Course Link

Course Link Language
Emotion Detection using Deep Learning Hinglish

Note: This is the free but quality course offered by CampusX.

Description:

This course covers the techniques and methods of using deep learning models for the task of emotion detection in various applications with the help of Convolutional Neural Networks(CNN). Students will learn how to build, train, and apply deep learning models to recognize and classify emotions from data.

Key Highlights:

  • Understanding how CNNs work
  • Understanding the various popular CNN architectures
  • Understanding Transfer Learning
  • Understanding deep learning concepts
  • Implementing emotion detection using CNN
  • Practical hands-on experience of deploying the project

What you will learn:

  • Develop deep learning skills
    • Learn the fundamentals of deep learning and its applications in emotion detection
  • Implement emotion recognition models
    • Build and train neural networks to detect emotions from images
  • Hands-on project experience
    • Gain practical experience by working on projects that involve emotion detection using deep learning