This book covers new deep neural networks that synthesize their optimal structure in online mode. Based on the principle of self-organization, this approach solves a wide class of Data Stream Mining problems, including pattern recognition, forecasting, and classification.
Galib Hamidov
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The Application of CNN and Hybrid Networks in Medical Images Processing and Cancer Classification
By: Yuriy Zaychenko, Galib Hamidov, Bohdan Chapaliuk
This book covers new artificial intelligence methods for medical image processing. It presents and analyzes new, more efficient convolutional neural network (CNN) architectures aimed at increasing the accuracy of tumour detection and cancer classification, with proven results.
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This product has multiple variants. The options may be chosen on the product page