Deep Learning for Image Classification

Deep Learning for Image Classification is a practical project focused on designing and implementing image classification models using Python and the TensorFlow library. The project covers image preprocessing, dataset preparation, and building convolutional neural networks (CNNs) to learn visual patterns from labeled image data.

The project applies deep learning techniques to train, evaluate, and improve model performance on real-world image datasets. Through hands-on experimentation and model tuning, it demonstrates the ability to develop end-to-end image classification solutions using TensorFlow for real-world applications.