Why the black box is a major concern in deep learning algorithms?
Deep learning has evolved much in the past few years. From face recognition, self-driving cars to photo editors, election prediction, to fraud detection, its’ applications have also diversified to a considerable margin. One of the most prominent use cases of deep learning is computer vision. Computer vision generally employs convolutional neural networks, to recognize and analyze visual inputs to execute follow up actions. However, how neural networks identify objects in images is a mystery: black box problem.
This is mainly because the inner workings of a
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