Pooling is a crucial operation in deep learning, particularly in convolutional neural networks (CNNs), where it plays an essential role in refining feature extraction and reducing data dimensionality. For companies like Akridata, which focuses on optimizing image inspection and asset monitoring through deep learning, understanding pooling’s impact on feature extraction can help in building more […]