CNN Model for Emotion Detection: TensorFlow and Keras Tutorial 🖥️🤔😀

Welcome to our practical tutorial on building an emotion detection model using TensorFlow and Keras! In this video, we'll guide you through the step-by-step process of creating your own model that can accurately classify emotions from human faces.

We'll begin with downloading the face images, covering different emotions such as happiness, sadness, anger, surprise, and more. You'll learn how to prepare the dataset to ensure that your model receives diverse and reliable training examples.

Next, we'll dive into the world of deep learning and explore the power of convolutional neural networks (CNNs). We'll explain the key components of a CNN model and guide you through the implementation using TensorFlow and Keras

In the final part of the tutorial, we'll demonstrate how to predict the trained model on new, unseen images.

Code for this video: https://github.com/feitgemel/TensorFlowProjects/tree/master/Emotion-Detection

More relevant content in this playlist : https://youtube.com/playlist?list=PLdkryDe59y4Ze9_12JhWu3cs-lOGYwYeD

A perfect course for learning modern Computer Vision with deep dive in TensorFlow , Keras and Pytorch . You can find it here : http://bit.ly/3HeDy1V 
I also recommend this book for deep dive in deep learning : https://amzn.to/3TTZym7
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