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008			200228s2020 si | s |||| 0|eng d
020			_a9789811518164
024	7		_a10.1007/978-981-15-1816-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ325.5 _b2020 EB
245	0	0	_aDeep Learning Applications _cedited by M. Arif Wani, Mehmed Kantardzic, Moamar Sayed-Mouchaweh.
250			_aFirst edition 2020.
264		1	_aSingapore _bSpringer Singapore _c2020
300			_a1 recurso en línea (X, 178 páginas) _b76 ilustraciones, 68 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aAdvances in Intelligent Systems and Computing _x2194-5357 _v1098
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aTrends in Deep Learning Applications -- Optimization Strategies -- Quasi-Newton Optimization Methods -- Application to Deep Reinforcement Learning -- Medical Image Segmentation using Deep Neural Networks with Pre-trained Encoders -- Enabling Robust and Autonomous Material handling in Logistics through applied Deep Learning Algorithms -- Performance metric -- Dataset creation -- Detecting Work Zones in SHRP2 NDS Videos Using Deep Learning Based Computer Vision -- Deep Learning Framework and Architecture Selection -- Action Recognition in Videos Using Multi-Stream Convolutional Neural Networks -- Ensemble of 3D Densely Connected Convolutional Network for Diagnosis of Mild Cognitive Impairment and Alzheimers disease.
520	3		_aThis book presents a compilation of selected papers from the 17th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2018), focusing on use of deep learning technology in application like game playing, medical applications, video analytics, regression/classification, object detection/recognition and robotic control in industrial environments. It highlights novel ways of using deep neural networks to solve real-world problems, and also offers insights into deep learning architectures and algorithms, making it an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers.
988			_aSpringer_Robotics_31032020
650		7	_2embne _aAprendizaje automático _9166090
700	1		_aWani, M. Arif _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKantardzic, Mehmed _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSayed-Mouchaweh, Moamar _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9789811518157
776	0	8	_iPrinted edition: _z9789811518171
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-15-1816-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2020 _dz _ek _zSI