In this hands-on video, I’ll show you how I built a deep learning model that can classify 9 different species of fish using MobileNetV2 and TensorFlow 2.10 — all trained on a real Kaggle dataset! From dataset splitting to live predictions with OpenCV, this tutorial covers the entire image classification pipeline step-by-step. What you’ll learn: How to preprocess & split image datasets How to use ImageDataGenerator for clean input pipelines How to customize MobileNetV2 for your own dataset How to freeze layers, fine-tune, and save your model How to run predictions with OpenCV overlays! You can find link for the code in the blog: https://eranfeit.net/how-to-actually-fine-tune-mobilenetv2-classify-9-fish-species/ You can find more tutorials, and join my newsletter here : https://eranfeit.net/ Watch the full tutorial here: https://youtu.be/9FMVlhOGDoo Enjoy Eran #Python #ImageClassification #MobileNetV2
