Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 5-10 Tagen versandfertig
Veröffentlichung:	März 2026
Genre:	Naturwissensch., Medizin, Technik
	Autoencoder(AE) / Biomedizinische Technik / Medizintechnik / Computervision / ConvolutionNeuralNetworks / DeepBeliefNetwork(DBN) / DeepLearning / GenerativeAdversarialNetworkLongshort-termmemoryNetworks / RestrictedBoltzmannMachine(RBM) / Self-OrganizingMap(SOM) mehr...
ISBN:	9789819612871
EAN-Code:	9789819612871
Verlag:	Springer
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D 13 mm
Gewicht:	359 gr
Seiten:	232
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book takes a balanced approach between theoretical understanding and real time applications. All topics show how to explore, build, evaluate and optimize deep learning models with computer vision. Deep learning is integrated with computer vision to enhance the performance of image classification with localization, object detection, object recognition, object segmentation, image style transfer, image colorization, image reconstruction, image super-resolution, image synthesis, motion detection, pose estimation, semantic segmentation in biomedical field. Huge number of efficient approaches/applications and models support medical decisions in the fields of cardiology, dermatology, and radiology. The content of book elaborates deep learning models such as convolution neural networks, deep learning, generative adversarial network, long short-term memory networks (LSTM), autoencoder (AE), restricted Boltzmann machine (RBM), self-organizing map (SOM), deep belief network (DBN), etc.