The `Conv2D` module in Python tensorpack.models is a class that represents a convolutional layer in a neural network. It is primarily used for image data processing tasks. This module allows for efficient and parallel computation of convolutions on 2-dimensional data. It provides various configuration options such as kernel size, number of output channels, stride, padding, and activation function. This module is commonly used in building deep learning models, particularly for tasks such as image classification and object detection.
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