Convolutional Neural Networks (CNNs) are the backbone of modern computer vision. In this guide, we break down how convolutional kernels extract spatial features, how pooling reduces dimensionality, and how transfer learning accelerates training on custom image datasets.
Deep Learning with CNNs: Practical Image Classification
A hands-on guide to training Convolutional Neural Networks with TensorFlow and Scikit-learn on real datasets.
