Intro to Deep Learning and Generative Models Course - L16.3 Convolutional Autoencoders & Transposed Convolutions

Sebastian's books: https://sebastianraschka.com/books/ Slides: https://sebastianraschka.com/pdf/lecture-notes/stat453ss21/L16_autoencoder__slides.pdf 0:00 Introduction 0:18 A Convolutional Autoencoder 3:29 Regular Convolution: 33 6:34 Transposed Convolution (3x3 kernel, stride=2) 10:27 Regular Convolution: stride = 1 14:43 Regular Convolution: output ------- This video is part of my Introduction of Deep Learning course. Next video: https://youtu.be/345wRyqKkQ0 The complete playlist: https://www.youtube.com/playlist?list=PLTKMiZHVd_2KJtIXOW0zFhFfBaJJilH51 A handy overview page with links to the materials: https://sebastianraschka.com/blog/2021/dl-course.html ------- If you want to be notified about future videos, please consider subscribing to my channel: https://youtube.com/c/SebastianRaschka