Classify images using MobileNet-V3 Transfer learning
Eran Feit
This is a transfer learning tutorial for image classification using TensorFlow involves leveraging pre-trained model MobileNet-V3 to enhance the accuracy of image classification tasks. By employing transfer learning with MobileNet-V3 in TensorFlow, image classification models can achieve improved performance with reduced training time and computational resources.
You can download the code here : XXXXXXXXXXX
You can download the dataset here : https://www.kaggle.com/datasets/crowww/a-large-scale-fish-dataset
More relevant content in this playlist : https://www.youtube.com/playlist?list=PLdkryDe59y4aCcCN4ioFpdLVAGZ_dFeFr
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, https://amzn.to/44GnlLW : "Make Your Own Neural Network - An In-depth Visual Introduction For Beginners ".
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Chapters : 00:00 Introduction 00:39 Data preparation 12:53 Build the model (Transfer learning) 20:15 Test the model
Music by Vincent Rubinetti
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Stream the music on Spotify: https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u
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