What are convolutional neural networks?
A Convolutional Neural Network (CNN) is a form of artificial intelligence that plays a key role in the AI ecosytem due to its ...
Tech Xplore on MSN14h
How neural networks represent data: A potential unifying theory for key deep learning phenomena
How do neural networks work? It's a question that can confuse novices and experts alike. A team from MIT's Computer Science ...
You can now download the source code that sparked the AI boom
On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional ...
The Scientist1y
Artificial Neural Networks: Learning by Doing
She uses ANNs to study vision and climate change. The first ANN layer is called the input layer because this is where the starting data enters the network. The last layer in the neural network is ...
AlexNet, the AI model that started it all, released in source code form - for all to download
It was the shot heard 'round the world - a neural network that finally fulfilled decades of theoretical promise.
Hackaday8mon
Analyzing Feature Learning In Artificial Neural Networks And Neural Collapse
Artificial Neural Networks (ANNs) are commonly used for machine vision purposes, where they are tasked with object recognition. This is accomplished by taking a multi-layer network and using a ...
Tech Xplore on MSN6d
Neural network learns to hesitate for improved accuracy
Researchers from the Skoltech AI Center, together with colleagues from the Institute for Information Transmission Problems of ...
Hackaday1y
Liquid Neural Networks Do More With Less
Liquid neural networks are inspired by biological neurons to implement algorithms that remain adaptable even after training. [Hasani] demonstrates a machine vision system that steers a car to ...