Deep Learning for Fruit Recognition: Classifying Over 100 Unique Fruits

n this tutorial, we take on the exciting challenge of classifying over 100 unique fruits using the power of TensorFlow and Keras

We will dive into the architecture of our CNN model, employing Conv2D, MaxPooling, Dense, and Dropout layers and create the full process of preparing the data , training and testing it on a new fresh image

Code for this video: https://github.com/feitgemel/TensorFlowProjects/tree/master/Fruits%20classification

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

00:00 Intro
00:24 Let's start coding - Get the dataset , and build the CNN model
16:22 Test the CNN model with a new fresh image

 ~~~~~~~~~~~~~~~ recommended courses and books ~~~~~~~~~~~~~~~
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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