Skip to content 
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.
We’ll go step-by-step through:
- Splitting a fish dataset for training & validation
- Applying transfer learning with MobileNetV3-Large
- Training a custom image classifier using TensorFlow
- Predicting new fish images using OpenCV
- Visualizing results with confidence scores
👉 Watch the full tutorial here : https://youtu.be/12GvOHNc5DI
You can download the code here : https://ko-fi.com/s/4d8e51bca8
You can download the dataset here : https://www.kaggle.com/datasets/crowww/a-large-scale-fish-dataset
ou can find more tutorials, and join my newsletter here : https://eranfeit.net/
If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here : 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
Enjoy
Eran
