Animals-10 Classification with VGG16 & ResNet50
Автор: Amn Amine
Загружено: 2026-01-02
Просмотров: 4
In this video, we build and compare *deep learning image classifiers* using *VGG16 and ResNet50* on the *Animals-10 dataset**, demonstrating a complete **transfer learning pipeline* from data loading to evaluation. The models are trained using *mixed-precision (FP16)* and *multi-GPU (MirroredStrategy)* to achieve faster and more efficient training, followed by performance analysis using accuracy curves, classification reports, confusion matrices, and real prediction examples on random images. This tutorial is ideal for anyone interested in *image classification, CNN benchmarking, and practical deep learning optimization techniques* using TensorFlow and Keras.
Kaggle Codes :
https://www.kaggle.com/code/amineipad...
https://www.kaggle.com/code/amineipad...
Доступные форматы для скачивания:
Скачать видео mp4
-
Информация по загрузке:
