The conv2d function in NumPy is not a built-in function, but it can be implemented using the numpy.fft.fft2 and numpy.fft.ifft2 functions.
This article provides a step-by-step guide on how to implement the conv2d function in Python using NumPy, including code examples and explanations.
This GitHub page provides an implementation of the conv2d function in Python using NumPy, along with example use cases and explanations.
This Stanford University course provides a lecture on convolutional neural networks, including an implementation of the conv2d function in NumPy.
This YouTube video provides an example implementation of the conv2d function in NumPy, including code explanations and visualizations.
This Stack Overflow question provides an example implementation of the conv2d function in NumPy, along with explanations and discussions.
This Kaggle notebook provides an implementation of the conv2d function in Python using NumPy, along with example use cases and explanations.
The official NumPy documentation provides information on the available functions in NumPy, including the fft2 and ifft2 functions that can be used to implement the conv2d function.