Autoencoders for Data Compression and Reconstruction - Neural Networks

In this Neural Network and Deep Learning Tutorial, we are going to talk about Autoencoders for Data Compression and Reconstruction. We will first of all talk about what autoencoders are and see some different types of autoencoders. At the end of the video, we are going over an example of how to create an autoencoder from scratch in google colab with PyTorch to reconstruct images from the MNIST dataset. GitHub: Join this channel to get access to exclusive perks: Join the public Discord chat here: I’ll be doing other tutorials alongside this one, where we are going to use C for Algorithms and Data Structures, and Artificial Intelligence. The purpose of this tutorial and channel is to build an online coding library where different programming languages and computer science topics are stored in the YouTube cloud in one place. Feel free to comment if you have any questions about