Bruno Gavranović Posted on April 20, 2026 Types and Neural Networks [This is cross posted to the GLAIVE blog ] Neural networks are used to generate increasingly more code in languages which enable highly generic and provably correct programming: Idris, Lean, and Agda, for example. However, most frontier models generating the code – Large Language Models – separate the process of training from the process of typechecking. They are trained to produce output of a fixed type: List Token. To get valid code
A hyperparameter in neural networks is a configuration setting that controls how the model learns during training. Unlik
Bilingual AI summaries of the latest neural networks stories, each with key points and a link to the original source
Last month, a video by 3Blue1Brown has been trending on YouTube, accumulating already over a quarter of a million views. It only lasts 10 minutes but provides a very good and intuitive explanation of the inner workings of Neural Networks (NN): https://www.youtube.com/watch?v=aircAruvnKk The Machine Learning & Deep Learning book I wrote about recently provides a more substantial explanation of
Neural Networks: Zero to Hero from Andrej Karpathy. intermediate, ~15 hours, free. What it covers and who it suits
Convolutional Neural Network (CNN) is a type of Neural Network Architecture that is widely used for performing deep learning on image data
In this article, We would like to talk to you about artificial neural networks. Yes, you read it right. We will try and understand what are artificial neural
The history of neural networks reveals how they evolved from promising curiosities to the powerful AI systems we know today. Take a look
If you're looking for innovative ways to use neural networks and deep learning in your business, you've come to the right place. We'll show you how to use
An Artificial Neural Network (ANN) is a computational model that is inspired by the way biological neural networks in the human brain process information. Artificial Neural Networks have generated a lot of excitement in Machine Learning research and industry, thanks to many breakthrough results in speech recognition, computer vision and text processing. In this blog post we will try to