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Showing posts from March, 2023

Discover the Beauty of Silver Bengal Cats: A Guide to this Majestic Breed

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   A Guide to this Majestic Breed The Silver Bengal is a breed of domestic cat known for its distinctive silver or charcoal-colored coat. These cats are known for their intelligence, playful personality, and affectionate nature and are often sought after as pets. They are also known for their striking appearance with long, smooth fur and bright, piercing eyes. Some Silver Bangles are also bred to have other colors in their coats, such as brown or black. If you are interested in getting a Silver Bengal cat as a pet, you should research the breed thoroughly to ensure it is a good fit for your lifestyle and living situation. History of Silver Bengal cat The Silver Bengal is a relatively new domestic cat breed developed in the 1980s by breeding Bengal cats with other species, such as the Siamese and Abyssinian. Bengal cats were initially created by breeding domestic cats with Asian leopard cats and are known for their wild, exotic looks and playful personalities. The goal of foste...

How neural networks extrapolate?

   How neural networks extrapolate? Neural networks  extrapolate by using the patterns and relationships learned from the training data to make predictions about new, unseen data. This is done by applying the same mathematical operations and weights to the input data that were learned during training. However, it’s important to note that neural networks are only able to extrapolate within the domain of the training data and are not able to make accurate predictions outside of this range. Feedforward to graph neural networks A feedforward neural network is a type of neural network in which the information flows through the network in one direction, from input to output, without looping back. In contrast, a graph neural network (GNN) is a type of neural network that is designed to operate on graph-structured data. GNNs are an extension of feedforward neural networks and are used to model relationships between nodes in a graph. In a  GNN , each node in the graph is asso...