
// DOCENTE OCASIONAL //
Maestría en Ingeniería de Sistemas y Computación
pregrado
Ingeniero Electrónico

// DOCENTE OCASIONAL //
Maestría en Ingeniería de Sistemas y Computación
pregrado
Ingeniero Electrónico
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This places a huge responsibility on the programmer, and the algorithm's
efficiency relies heavily on how inventive the programmer is.
The lower layers can be assumed to be performing automatic feature extraction, requiring little or no guidance from the programmer.
The programmer needs to be specific and tell the computer the
features to be looked out for. Maiffret was a high school dropout who taught himself computer security and got
his first job after he hacked into the network of software
firm eCompany, with the company's permission. Deep
neural networks, deep belief networks and recurrent neural
networks have been applied to fields such as computer vision,
speech recognition, natural language processing, audio recognition, social network filtering, machine translation,
and bioinformatics where they produced results comparable to and in some cases better than human experts have.
Deep learning is a class of machine learning algorithms that use several
layers of nonlinear processing units for feature extraction and transformation.
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