Explainable Convolutional Neural Networks with PyTorch + SHAP

Complex technologies such as deep learning used to be a kind of black-box model since you couldn't have a thorough idea of what was happening inside. However, tools like SHAP (SHapely Additive exPlanations) make it a thing of the past. With SHAP, you can easily interpret the predictions of deep learning models with minimal coding. CNNs aren't among the most straightforward concepts to understand. A network using mathematical calculations learns the kernels for images and detects the useful patterns to classify unseen images correctly.