2D Convolution Kernel Design using Python
This article discusses the design and implementation of 2D convolution kernels in Python using the NumPy library, with applications in image processing.
This article discusses the design and implementation of 2D convolution kernels in Python using the NumPy library, with applications in image processing.
Stanford University's CS231n course notes provide a detailed explanation of 2D convolution, including kernel design and implementation in Python using TensorFlow and Keras.
A GitHub repository containing a Python implementation of 2D convolution using the SciPy library, including example use cases and documentation.
A research paper discussing the design of 2D convolution kernels for image processing applications, with a Python implementation using OpenCV.
The official PyTorch tutorial on convolution kernels, including a section on 2D convolution and kernel design, with example code in Python.
A Coursera course on deep learning, including a section on 2D convolutional neural networks and kernel design, with Python implementation using Keras.
An IEEE research paper discussing the design of 2D convolution kernels for image filtering applications, with a Python implementation using NumPy.
A Python library for 2D convolution, including kernel design and implementation, available on PyPI for easy installation and use.