Emotion Detection using CNN | Deep Learning | Retail Analytics Project
🔥 With this emotion detection model, you shall get a first hand sense of how a data scientist thinks and works towards solving a technical problem of this scale and complexity.
We will predict emotions, as: positive (which is, happiness or surprise), negative (which is anger or sadness), or neutral (which is contempt or disgust or fear).
We would need to put a lot of our human sense into the model we would develop. Simply put, we wish to build a highly accurate emotion detection model that takes human image as input, and returns whether the subject has positive, negative or neutral emotion. We are using Convolutional Neural Network based Deep Learning for model training.
🔥 Resources:
Skillcate Toolkit Link: https://drive.google.com/drive/folder...
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CNN Architecture Link: • Simple explanation of convolutional neural...
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Gender Detection Project: • Gender Detection using CNN | Deep Learning
🔥 Sections:
00:00 Introduction
02:03 Finding the right dataset
03:57 Sketching out a plan
06:16 ML Model Building
14:04 Use Cases & Applications
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