Explain the concept of pooling and its role in convolutional neural networks.
Saturday, 05 August 2023
by EITCA Academy
Pooling is a fundamental concept in convolutional neural networks (CNNs) that plays a crucial role in reducing the spatial dimensions of feature maps, while retaining the important information necessary for accurate classification. In this context, pooling refers to the process of downsampling the input data by summarizing local features into a single representative value. This
- Published in Artificial Intelligence, EITC/AI/TFF TensorFlow Fundamentals, Introduction to TensorFlow, Introducing convolutional neural networks, Examination review
Tagged under:
Artificial Intelligence, Average Pooling, CNNs, Convolutional Neural Networks, Downsampling, Max Pooling, Pooling, Sum Pooling