CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
-
Updated
Oct 27, 2024 - Python
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
Helping detect the type of brain tumor (if any) using EfficientNetB1.
This project demonstrates image classification on the CIFAR-10 dataset using transfer learning with the pre-trained VGG16 model. The implementation is done in Google Colab and includes data preprocessing, model adaptation, training, evaluation, and result visualization using TensorFlow and Keras.
Image classification using Tensorflow
Add a description, image, and links to the image-classifcation topic page so that developers can more easily learn about it.
To associate your repository with the image-classifcation topic, visit your repo's landing page and select "manage topics."