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... Age, Gender, Emotion Detection Project:    • Age, Gender & Emotion Detection Project us...   Face Recognition Project:    • Face Detection Machine Learning Project | ...   CNN Architecture Link:    • Simple explanation of convolutional neural...   Label Encoding: https://towardsdatascience.com/catego... Age Detection Project:    • Age Detection using CNN | Deep Learning | ...   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 🔥 Do like, share & subscribe to our channel. Keep in touch: Email: [email protected] Website: https://www.skillcate.com LinkedIn:   / 67209084