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Deep learning neural networks can receive various inputs and apply different weights during analysis to produce an output They can be taught to alter the weights based on an error reading to generate the desired output after a series of iterations
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Robot Uses Optic Sensors to Pick the Ripest Tomato
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Going “Behind the Curtain” to Experience Robotic Technology