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CNN Model for Emotion Detection: TensorFlow and Keras Tutorial πŸ–₯οΈπŸ€”πŸ˜€

πŸ“Ήβœ¨ Emotion Detection with Deep Learning! – Step by Step πŸŒŸπŸ”πŸ’»

In our latest video tutorial, we will walk you through the step-by-step process of building an emotion detection model using deep learning and image classification techniques. πŸ€–πŸ“Έ

During this tutorial, we will guide you through the essential stages, starting from preprocessing the data and designing the neural network architecture, to train the model effectively.

Next, we will demonstrate how to test the model on a fresh new image and accurately predict the emotion of the face.

Feel free to subscribe to our channel and stay updated with our upcoming videos!

If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it hereΒ  : http://bit.ly/3HeDy1V

Perfect course for every computer vision enthusiastic

Before we continue , I actually recommend this book for deep learning based on Tensorflow and Keras : https://amzn.to/3STWZ2N

You can find more similar tutorials in my blog posts page here : https://eranfeit.net/blog/

Check out our tutorial here : https://youtu.be/bp8OpasGtV4&list=UULFTiWJJhaH6BviSWKLJUM9sg

Code for this video: https://ko-fi.com/s/c87f1625d1

The code is in my Repo. I will leave a link in the video description.

Enjoy

Eran

#Python #Cnn #TensorFlow #deeplearning #neuralnetworks #imageclassification #convolutionalneuralnetworks

Eran Feit
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