How data symmetry informs neural network architectures

A smarter way to cluster data using deep learning

A PyTorch implementation on the ConvNeXt architecture

Introduction The vanilla ViT is problematic. If you take a look at the original ViT paper [1], you’ll notice that although this deep learning model proved to work extremely well, it requires hundreds…

After dispatching its Ghost Dragon ISR quadcopters to Ukraine in mid-2022, Estonian startup KrattWorks quickly realized the need for continuous innovation due to rapid advances in electronic warfare.…

Practical Neuroevolution: Reproducing NEAT’s Innovations and Code Walkthrough The post From Genes to Neural Networks: Understanding and Building NEAT (Neuro-Evolution of Augmenting Topologies) from Scratch appeared first on Towards Data Science. Generated…

A walk-through of and the maths behind using low-capacity networks to acquire fine-grained scoring when only categorical labelling is available for training. We use it to predict the severity of an infection on a scale based on information on just rough outcomes…