Image Classification CNN

Image Classification CNN is a remarkable project that harnesses the power of deep learning to classify images from the CIFAR-10 dataset. Using Python and PyTorch, I designed and implemented a convolutional neural network (CNN) that excelled in image classification. The project's crowning achievement was reaching an impressive 82% accuracy rate across 9 epochs, showcasing the model's consistent and commendable performance. To provide a visual insight into the CNN model's progression, I employed Matplotlib to create dynamic accuracy and loss trend visualizations. These visualizations offer a snapshot of the model's evolution and performance over time, making it easier to analyze and understand its capabilities.