Journey into Convolutions

This chapter introduces convolutional neural networks (CNNs), highlighting their significance in image processing. It explains convolution operations, implementing convolutions with tensors, and the structure of convolutional, pooling, and fully connected layers. The chapter explores advanced CNN architectures, techniques to improve performance, and practical applications such as image classification, object detection, and image segmentation. Implementation examples with TensorFlow and PyTorch, along with exercises, are provided to solidify understanding.