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We use neural networks when we are given some data and are asked to approximate a target function. This is very useful in real world problems, as not many real world processes are known functions (the reason we need to approximate). Credit: emergent garden (yt) Join our AI community for more posts like this @aibutsimple 🤖 #neuralnetworks #datascience #datascientist #machinelearning #math
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Artificial Intelligence | AI on Instagram: "Follow for more @getintoai Neural networks are used to approximate functions when we have inputs and want to generate specific outputs without knowing the exact function (we need an approximation). We do this by training the network on examples, providing it with pairs of inputs and expected outputs. Once trained, the network can generalize and make predictions on new inputs by applying what it learned, essentially approximating the underlying function
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