Image Classification with TensorFlow & Keras

This repository contains three deep learning image classification projects built using TensorFlow and Keras.
Each project includes dataset loading, preprocessing, model building, training, evaluation, and prediction examples.

Projects Included

1. CIFAR-10 Image Classification

   • Dataset: CIFAR-10
   • Classes: 10 categories (airplane, car, bird, cat, deer, dog, frog, horse, ship, truck)
   • Model: Convolutional Neural Network (CNN)

2. Digit Recognition (MNIST)

   • Dataset: MNIST Handwritten Digits
   • Classes: Digits from 0 to 9
   • Model: CNN

3. Bone Fracture Detection

   • Dataset: (/kaggle/input/bone-fracture-dataset)
   • Classes: Not Fracture and Fracture
   • Model: Custom CNN for binary classification

Clone the Repository

git clone https://github.com/imahnor/ImageClassification_Keras_tf.git
cd ImageClassification_Keras_tf