Archives for neural network architecture


Image segmentation used to require large, compute-intensive neural networks. Running deep learning models without connecting to cloud or GPU servers was a huge challenge. Now, researchers at DarwinAI and the University of Waterloo have designed a new neural network architecture called ‘AttendSeg,’ that can perform image segmentation on edge or low computational devices. Image segmentation…
The post New Innovations In Image Segmentation For Edge devices appeared first on Analytics India Magazine.


Image segmentation used to require large, compute-intensive neural networks. Running deep learning models without connecting to cloud or GPU servers was a huge challenge. Now, researchers at DarwinAI and the University of Waterloo have designed a new neural network architecture called ‘AttendSeg,’ that can perform image segmentation on edge or low computational devices. Image segmentation…
The post New Innovations In Image Segmentation For Edge devices appeared first on Analytics India Magazine.


Neural networks are a series of algorithms that identify underlying relationships in a set of data. These algorithms are heavily based on the way a human brain operates. These networks can adapt to changing input and generate the best result without the requirement to redesign the output criteria. In a way, these neural networks are…
The post Top 5 Neural Network Models For Deep Learning & Their Applications appeared first on Analytics India Magazine.

