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image colorization neural network

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If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."

However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …

Building an Image Colorization Neural Network -- Part 1: Generative Models and Autoencoders

#artificialintelligenceAug-28-2022, 20:25:19 GMT

First of all, let's make sure we have a good understanding of when a model is labeled as generative. Practically, there are two different types of models: the generative and the discriminative. A discriminative model is deemed with the aim of successfully discriminating between different kinds of data samples. The most common discriminative scenario is binary classification, where each data sample has a target value that can belong to one of two distinct classes. Classifying if the image contains a cat or a dog is a basic example.

autoencoder, image colorization neural network, neural network, (11 more...)

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Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.33)

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