Dive into the fundamentals of convolutional neural networks in this comprehensive 26-minute video tutorial. Explore the concept of convolutions, a crucial component in computer vision applications. Learn about Conv2d in PyTorch and its application to image processing. Visualize convolution kernels and their effects on images, understanding how they contribute to CNN functionality. Gain insights into the network's receptive field and its importance in image analysis. Follow along with practical coding examples in Python and PyTorch, and prepare for future lessons on implementing CNNs for image classification tasks.
Understanding Convolution Kernels for CNNs - Computer Vision Basics - What Are Convolutions?
Overview
Syllabus
Intro:
What is a convolutional kernel:
Using Pytorch Conv2d on example images:
Visualising convolution kernels:
Visualising convolved images:
How do convolutional kernels help with CNNs:
Convolution network's receptive field:
Outro:
Taught by
rupert ai
