Neural networks

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Case studyDevote time and attention to gaining knowledge of (an academic subject), especially by means of books notes[1]

Introduction

Artificial neural networksa group or system of interconnected people or things. (ANNs) or connectionist systems are computing systems vaguely inspired by the biological neural networksa group or system of interconnected people or things. that constitute animal brains. Such systems "learn" (i.e. progressively improve performance on) tasks by considering examples, generally without task-specific programming. For example, in image recognition, they might learn to identifyProvide an answer from a number of possibilities. Recognize and state briefly a distinguishing fact or feature. images that contain cats by analyzing example images that have been manually labeled as "cat" or "no cat" and using the results to identifyProvide an answer from a number of possibilities. Recognize and state briefly a distinguishing fact or feature. cats in other images. They do this without any a priori knowledge about cats, e.g., that they have fur, tails, whiskers and cat-like faces. Instead, they evolve their own set of relevant characteristics from the learning material that they process. [2]



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