Deep Learning

This page lists posts in deep learning-related categories.

The Diffusion Paradigm

diffusion

ddpm

deep-learning

generative-models

This is the fourth entry in our series building a Diffusion Transformer (DiT) from scratch. In the previous posts we assembled two critical pieces: an autoencoder that…

Class-Conditional VAE

deep-learning

vae

generative-models

pytorch

This is a companion to our Autoencoder Architecture tutorial. In that post we built four autoencoders — from a simple linear bottleneck to a ResNet VAE — and discovered that…

Autoencoder Architecture

deep-learning

autoencoder

vae

pytorch

This is the second entry in our series building a Diffusion Transformer (DiT) from scratch. Autoencoders are one of the oldest and most elegant ideas in deep learning — a…

Diffusion Transformer (DiT)

diffusion

transformer

deep-learning

generative-models

In this series we build a Diffusion Transformer (DiT) from scratch, covering every building block from the ground up. The tutorial is split into five parts that…

Transformer Architecture

transformer

attention

deep-learning

This is the first entry in our series building a Diffusion Transformer (DiT) from scratch. We start with the core building block: the encoder side of the Transformer…

Multivariate Regression

time-series

tensorflow

machine-learning

In this post, we will explore how to perform multivariate regression with TensorFlow to predict sunspot activity. We’ll use a comprehensive approach that includes feature…