This repository demonstrates various machine learning classification techniques using TensorFlow, presented through interactive Jupyter notebooks. It is a resource for beginners and practitioners to explore and implement practical examples of classification models.
- Convolutional Neural Networks (CNNs): A detailed walkthrough on building CNN architectures for image classification tasks.
- Transfer Learning: Techniques for leveraging pre-trained models to enhance classification accuracy.
- Comprehensive Examples: Easy-to-follow Jupyter notebooks for hands-on learning.
- Clone this repository:
git clone https://github.com/karginb/classifications_with_tensorflow.git