How do we teach machines to learn by themselves and eventually become “intelligent”? With neural networks just like the one we all carry in us – the brain. Machines learn by experience and with the help of neural networks. Just like in the human brain, a network of billions of neurons receives and recognizes information, classifies, sorts and archives it. A neural network basically works the same way: it receives input, processes it, and delivers output. Watch Basler's latest Vision Campus video to learn about the different types of neural networks, how they are designed, and how their algorithms operate everyday functions such as image search, product recommendations, autonomous vehicles, or automated translation tools.
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