neural network

Estimating from No Data: Deriving a Continuous Rating from Categories

has collected data on the outcomes of patients who've acquired “Pathogen A” answerable for an infectious respiratory illness. Available are 8 features of every patient and the consequence: (a) treated at home and...

The Channel-Sensible Attention | Squeeze and Excitation

After we speak about attention in computer vision, one thing that probably involves your mind first is the one utilized in the Vision Transformer (ViT) architecture. Actually, that’s not the one attention mechanism we've...

Google DeepMind’s recent AI will help historians understand ancient Latin inscriptions

To do that, Aeneas takes in partial transcriptions of an inscription alongside a scanned image of it. Using these, it gives possible dates and places of origins for the engraving, together with potential...

Taking ResNet to the Next Level

In the event you read the title of this text, you may probably think that ResNeXt is directly derived from ResNet. Well, that’s true, but I believe it’s not entirely accurate. In reality, to...

Want Higher Clusters? Try DeepType

, neural networks and Clustering algorithms seem worlds apart. Neural networks are typically utilized in supervised learning, where the goal is to label recent data based on patterns learned from a labeled dataset. Clustering,...

Attractors in Neural Network Circuits: Beauty and Chaos

is one thing in common between memories, oscillating chemical reactions and double pendulums? All these systems have a basin of attraction for possible states, like a magnet that attracts the system towards certain...

7 Concepts You Must Understand AI

7 Concepts You Must Understand AI

Recent posts

Popular categories

ASK ANA