Deep learning is gaining traction across a broad swath of applications, providing more nuanced and complex behavior than machine learning offers today.
Those attributes are particularly important for safety-critical devices, such as assisted or autonomous vehicles, as well as for natural language processing where a machine can recognize the intent of words based upon the context of a convers...
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