Libros sobre el tema "Deep Photonic Neural Networks"
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Aggarwal, Charu C. Neural Networks and Deep Learning. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94463-0.
Texto completoAggarwal, Charu C. Neural Networks and Deep Learning. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29642-0.
Texto completoMoolayil, Jojo. Learn Keras for Deep Neural Networks. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4240-7.
Texto completoCaterini, Anthony L. y Dong Eui Chang. Deep Neural Networks in a Mathematical Framework. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75304-1.
Texto completoRazaghi, Hooshmand Shokri. Statistical Machine Learning & Deep Neural Networks Applied to Neural Data Analysis. [New York, N.Y.?]: [publisher not identified], 2020.
Buscar texto completoFingscheidt, Tim, Hanno Gottschalk y Sebastian Houben, eds. Deep Neural Networks and Data for Automated Driving. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-01233-4.
Texto completoModrzyk, Nicolas. Real-Time IoT Imaging with Deep Neural Networks. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5722-7.
Texto completoIba, Hitoshi. Evolutionary Approach to Machine Learning and Deep Neural Networks. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0200-8.
Texto completoLu, Le, Yefeng Zheng, Gustavo Carneiro y Lin Yang, eds. Deep Learning and Convolutional Neural Networks for Medical Image Computing. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-42999-1.
Texto completoTetko, Igor V., Věra Kůrková, Pavel Karpov y Fabian Theis, eds. Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30484-3.
Texto completoR, Pirich Andrew y Society of Photo-optical Instrumentation Engineers., eds. Photonic component engineering and applications: 8-9 April 1996, Orlando, Florida. Bellingham, Wash: SPIE, 1996.
Buscar texto completoZhang, Yunong, Dechao Chen y Chengxu Ye. Deep Neural Networks. Taylor & Francis Group, 2020.
Buscar texto completoGraupe, Daniel. Deep Learning Neural Networks. WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/10190.
Texto completoNakamoto, Pat. Neural Networks and Deep Learning: Neural Networks & Deep Learning, Deep Learning, Blockchain Blueprint. Createspace Independent Publishing Platform, 2018.
Buscar texto completoBrunner, Daniel, Miguel C. Soriano y Guy Van der Sande. Photonic Reservoir Computing: Optical Recurrent Neural Networks. de Gruyter GmbH, Walter, 2019.
Buscar texto completoBrunner, Daniel, Miguel C. Soriano y Guy Van der Sande. Photonic Reservoir Computing: Optical Recurrent Neural Networks. de Gruyter GmbH, Walter, 2019.
Buscar texto completoBrunner, Daniel, Miguel C. Soriano y Guy Van der Sande. Photonic Reservoir Computing: Optical Recurrent Neural Networks. de Gruyter GmbH, Walter, 2019.
Buscar texto completoDavis, Ronald. Neural Networks and Deep Learning. Independently Published, 2017.
Buscar texto completoStanimirovic, Ivan. Deep Neural Networks and Applications. Arcler Education Inc, 2019.
Buscar texto completoStanimirovic, Ivan. Deep Neural Networks and Applications. Arcler Education Inc, 2019.
Buscar texto completoVidales, A. Deep Learning with Matlab: Neural Networks Design and Dynamic Neural Networks. Independently Published, 2018.
Buscar texto completoSze, Vivienne, Yu-Hsin Chen, Tien-Ju Yang y Joel S. Emer. Efficient Processing of Deep Neural Networks. Morgan & Claypool Publishers, 2020.
Buscar texto completoSze, Vivienne, Yu-Hsin Chen, Tien-Ju Yang y Joel S. Emer. Efficient Processing of Deep Neural Networks. Springer International Publishing AG, 2020.
Buscar texto completoSze, Vivienne, Yu-Hsin Chen, Tien-Ju Yang y Joel S. Emer. Efficient Processing of Deep Neural Networks. Morgan & Claypool Publishers, 2020.
Buscar texto completoStrong, Christopher, Clark Barrett, Changliu Liu, Tomer Arnon y Christopher Lazarus. Algorithms for Verifying Deep Neural Networks. Now Publishers, 2021.
Buscar texto completoSze, Vivienne, Yu-Hsin Chen, Tien-Ju Yang y Joel S. Emer. Efficient Processing of Deep Neural Networks. Morgan & Claypool Publishers, 2020.
Buscar texto completoVittorio, Massimo De, Luigi Martiradonna y John Assad. Nanotechnology and Neuroscience: Nano-electronic, Photonic and Mechanical Neuronal Interfacing. Springer, 2014.
Buscar texto completoVittorio, Massimo De, Luigi Martiradonna y John Assad. Nanotechnology and Neuroscience: Nano-electronic, Photonic and Mechanical Neuronal Interfacing. Springer, 2016.
Buscar texto completoVittorio, Massimo De, Luigi Martiradonna y John Assad. Nanotechnology and Neuroscience: Nano-Electronic, Photonic and Mechanical Neuronal Interfacing. Springer London, Limited, 2014.
Buscar texto completoPhotonic Neuromorphic Computing. Taylor & Francis Group, 2017.
Buscar texto completoNeural Networks and Deep Learning: A Textbook. Springer, 2018.
Buscar texto completoLuigi Mazzeo, Pier, Srinivasan Ramakrishnan y Paolo Spagnolo, eds. Visual Object Tracking with Deep Neural Networks. IntechOpen, 2019. http://dx.doi.org/10.5772/intechopen.80142.
Texto completoVisual Object Tracking with Deep Neural Networks. IntechOpen, 2019.
Buscar texto completoSugomori, Yusuke, Bostjan Kaluza, Fabio M. Soares y Alan M. F. Souza. Deep Learning: Practical Neural Networks with Java. Packt Publishing, 2017.
Buscar texto completoChang, Dong Eui y Anthony L. L. Caterini. Deep Neural Networks in a Mathematical Framework. Springer, 2018.
Buscar texto completoAggarwal, Charu C. Neural Networks and Deep Learning: A Textbook. Springer, 2019.
Buscar texto completoSpencer, Quinn. Neural Networks: Deep Learning and Machine Learning Outlined. Independently Published, 2018.
Buscar texto completoEvolutionary Deep Learning: Genetic Algorithms and Neural Networks. Manning Publications Co. LLC, 2022.
Buscar texto completoGraupe, Daniel. Deep Learning Neural Networks: Design and Case Studies. World Scientific Publishing Co Pte Ltd, 2016.
Buscar texto completoLopez, César Perez. DEEP LEARNING with MATLAB. NEURAL NETWORKS by EXAMPLES. Lulu Press, Inc., 2020.
Buscar texto completoGraupe, Daniel. Principles of Artificial Neural Networks: Basic Designs to Deep Learning. World Scientific Publishing Co Pte Ltd, 2019.
Buscar texto completoApplied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks. Apress, 2018.
Buscar texto completoMichelucci, Umberto. Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks. Apress / KP, 2019.
Buscar texto completoDeep Learning with TensorFlow: Explore neural networks with Python. Packt Publishing, 2017.
Buscar texto completoSuresh, Annamalai, R. Udendran y S. Vimal. Deep Neural Networks for Multimodal Imaging and Biomedical Applications. IGI Global, 2020.
Buscar texto completoSuresh, Annamalai, R. Udendran y S. Vimal. Deep Neural Networks for Multimodal Imaging and Biomedical Applications. IGI Global, 2020.
Buscar texto completoVidales, A. Deep Learning with Matlab: Big Data and Neural Networks. Independently Published, 2018.
Buscar texto completoVidales, A. Deep Learning with Matlab: Neural Networks Tools and Functions. Independently Published, 2018.
Buscar texto completoSuresh, Annamalai, R. Udendran y S. Vimal. Deep Neural Networks for Multimodal Imaging and Biomedical Applications. IGI Global, 2020.
Buscar texto completoZhang, Yunong, Dechao Chen y Chengxu Ye. Deep Neural Networks: WASD Neuronet Models, Algorithms, and Applications. Taylor & Francis Group, 2019.
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