Transfer Learning

I will develop a deep learning project for brain tumor classification using Transfer Learning with the VGG16 model.

The project uses MRI brain images to train a convolutional neural network capable of detecting whether a brain scan contains a tumor or not. Transfer learning with the VGG16 architecture helps achieve good accuracy even with limited datasets.

The service includes:

* Data preprocessing and image preparation

* Implementing Transfer Learning using VGG16

* Training and fine-tuning the model

* Model evaluation using metrics such as accuracy and loss

* Visualization of training results

You will receive the full Python code with clear structure and instructions on how to run the project.