Data loading is a critical part of training deep learning models. In this post, we'll explore the best practices for loading data into neural networks, with a focus on PyTorch
GraphPrompt introduces a unified framework for Graph Neural Networks that integrates pre-training and diverse downstream tasks like node and graph classification under a subgraph similarity
Backpropagation traces errors backward through neural networks using the chain rule — the learning engine behind every modern deep model
Explore some of the most fundamental algorithms which have stood the test of time and provide the basis for innovative solutions in data-driven AI. Learn how to use the R language for implementing various stages of data processing and modelling activities. Appreciate mathematics as the universal language for formalising data-intense problems and communicating their solutions. The book is for you if you’re yet to be fluent with university-level linear algebra, calculus and probability theory or you’ve forgot
This explores whether knowledge encoded in a model's weights and activations is always causally wired to what it outputs — or whether some stored information sits inert, gets suppressed, or routes aro
An interactive introduction to spiking neuron models -- all in the browser. Learn about modeling neurons as dynamical systems and the computational properties of neurons.
Self-supervised learning (SSL) trains neural networks by generating labels directly from the input data instead of relyi
Lehrstuhl fuer Integrierte Digitale Systeme und Schaltungsentwurf, RWTH Aachen
I’ve trained neural networks to generate candy hearts before, and the process goes something like this: collect as many existing candy heart messages as I can (which was 366) give them to a clueless neural net that tries to imitate them allow the neural net to generate its 100% humanlike imitations
Today we want to build a model, that can identify ingredients in cooking recipes. I use the “German Recipes Dataset”, I recently published on kaggle. We have more than 12000 German recipes and their ingredients list.