Method for importing artificial intelligence ultra-deep learning for image recognition
A technology of deep learning and artificial intelligence, applied in the field of information processing, can solve problems affecting the development of artificial intelligence, unclear concepts of artificial intelligence, etc., and achieve the effect of high processing efficiency and clear learning process goals
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[0086] The embodiments of the present invention will be further described below in conjunction with the accompanying drawings, but the embodiments of the present invention are illustrative rather than limiting.
[0087] figure 1 It is a schematic diagram of the composition of an artificial intelligence ultra-deep learning model.
[0088] First, the following definition of letter expression is performed:
[0089] Set the number of input information and the number of input layer nodes as h (h=1, 2, ..., k), and then set the number of learning times as z = 1, 2, ..., w, and the number of layers of neurons is p (p=1, 2, . . . , e). The image being learned should also be F z (z=1, 2, ..., w), the number of nodes in the hidden layer, that is, the number of nodes in the input layer corresponds to h (h = 1, 2, ..., k), the first learning The micro-machine learning that needs to be learned before the input information is sent to the input layer node is ML z ph , input layer p=1, ...
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Abstract
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