![]() They are usually trained with large amounts of data, which is filtered through multiple layers to determine something specific about the data, whether it be a certain color or a shape – like an image of a human face, a cat or a dog, for example.Īs the dataset is being processed, mathematical functions in the neural network, referred to as neurons, assign weightings to new entries, to determine whether or not a particular piece of data meets a certain criterion. Neural networks, or algorithmic models that are inspired by human brain activity, are initially put through a training phase, before they can draw conclusions on data, or infer anything new from a particular dataset. Of Neural Networks, Training And Inference Neural Networks are integral parts of ML and AI, as are the processes of Training and Inference. It all starts with the concept of Neural Networks (NN). This is somewhat oversimplified for the sake of brevity, but should be helpful background nonetheless. Further, if you’ve ever talked to a smartphone for speech-to-text messaging or for Google Assistant recommendations, AI has impacted your connected experiences as well.įor those that may be unfamiliar with how machine learning and AI technologies work, we should probably lay a little foundation. Even during our everyday workflow here at HotHardware, we currently utilize a few key AI-enabled applications to enhance our content. The technology is gaining traction in many industries, from massive social networks that are analyzing mountains of data, to the tiniest of IoT smart home and mobile devices. Machine Learning and Artificial Intelligence are hot topics in virtually all tech sectors at this moment in time.
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