Books on the topic 'Deep Convontional Neural Network'
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Gridin, Ivan. Automated Deep Learning Using Neural Network Intelligence. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8149-9.
Full textToriumi, Mitsuhiro. Geochemical Mechanics and Deep Neural Network Modeling. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3659-3.
Full textAlsuhli, Ghada, Vasilis Sakellariou, Hani Saleh, Mahmoud Al-Qutayri, Baker Mohammad, and Thanos Stouraitis. Number Systems for Deep Neural Network Architectures. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-38133-1.
Full textShanthini, A., Gunasekaran Manogaran, and G. Vadivu. Deep Convolutional Neural Network for The Prognosis of Diabetic Retinopathy. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-3877-1.
Full textToriumi, Mitsuhiro. Physics of Geochemical Mechanics and Deep Neural Network Modeling with Diffusion Augmentation. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-9376-1.
Full textA, Renzetti N., and Jet Propulsion Laboratory (U.S.), eds. The Deep Space Network as an instrument for radio science research: Power system stability applications of artificial neural networks. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1993.
Find full textOsipyan, Hasmik, Bosede Edwards, and Adrian David Cheok. Deep Neural Network Applications. CRC Press LLC, 2022.
Find full textCheok, Adrian David. Deep Neural Network Applications. Taylor & Francis Group, 2022.
Find full textCheok, Adrian David. Deep Neural Network Applications. Taylor & Francis Group, 2022.
Find full textCheok, Adrian David. Deep Neural Network Applications. Taylor & Francis Group, 2022.
Find full textCheok, Adrian David. Deep Neural Network Applications. Taylor & Francis Group, 2022.
Find full textOsipyan, Hasmik, Bosede Edwards, and Adrian David Cheok. Deep Neural Network Applications. Taylor & Francis Group, 2022.
Find full textGurbuz, Sevgi Zubeyde, ed. Deep Neural Network Design for Radar Applications. Institution of Engineering and Technology, 2020. http://dx.doi.org/10.1049/sbra529e.
Full textDeep Neural Network Design for Radar Applications. Institution of Engineering & Technology, 2021.
Find full textDeep Neural Network Design for Radar Applications. SciTech Publishing, Incorporated, 2021.
Find full textPerez, C. DEEP Learning Using Matlab. Neural Network APPLICATIONS. Lulu Press, Inc., 2019.
Find full textDeep Learning Using Matlab. Neural Network Applications. Createspace Independent Publishing Platform, 2017.
Find full textSun, Yanan, Mengjie Zhang, and Gary Yen. Evolutionary Deep Neural Network Design: Fundamentals and Methods. Wiley & Sons, Incorporated, John, 2022.
Find full textSun, Yanan, Mengjie Zhang, and Gary Yen. Evolutionary Deep Neural Network Design: Fundamentals and Methods. Wiley & Sons, Limited, John, 2022.
Find full textSun, Yanan, Mengjie Zhang, and Gary Yen. Evolutionary Deep Neural Network Design: Fundamentals and Methods. Wiley & Sons, Incorporated, John, 2022.
Find full textSun, Yanan, Mengjie Zhang, and Gary Yen. Evolutionary Deep Neural Network Design: Fundamentals and Methods. Wiley & Sons, Incorporated, John, 2022.
Find full textDeng, Jiankang. Handbook of Face Recognition: The Deep Neural Network Approach. Springer International Publishing AG, 2024.
Find full textPython Deep Learning: Exploring Deep Learning Techniques and Neural Network Architectures with PyTorch. Packt Publishing, Limited, 2023.
Find full textDeep Convolutional Neural Network for the Prognosis of Diabetic Retinopathy. Springer, 2023.
Find full textManogaran, Gunasekaran, G. Vadivu, and A. Shanthini. Deep Convolutional Neural Network for the Prognosis of Diabetic Retinopathy. Springer, 2022.
Find full textBlack, Eddie. Machine Learning A-Z: Machine Learning - Deep Learning with Neural Network. Independently Published, 2019.
Find full textToriumi, Mitsuhiro. Geochemical Mechanics and Deep Neural Network Modeling: Applications to Earthquake Prediction. Springer, 2022.
Find full textFinlay, Christian. Practical Artificial Intelligence: Essentials of Deep Learning and Neural Network Algorithms. Independently Published, 2018.
Find full textGeochemical Mechanics and Deep Neural Network Modeling: Applications to Earthquake Prediction. Springer, 2023.
Find full textDi, Wei, Anurag Bhardwaj, and Jianing Wei. Deep Learning Essentials: Your hands-on guide to the fundamentals of deep learning and neural network modeling. Packt Publishing, 2018.
Find full textPython Deep Learning: Exploring Deep Learning Techniques and Neural Network Architectures with Pytorch, Keras, and TensorFlow. de Gruyter GmbH, Walter, 2019.
Find full textPython Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow. 2nd ed. Packt Publishing, 2019.
Find full textMelcher, Kathrin, and Rosaria Silipo. Codeless Deep Learning with KNIME: Build, Train, and Deploy Various Deep Neural Network Architectures Using KNIME Analytics Platform. Packt Publishing, Limited, 2020.
Find full textDeep Learning with PyTorch: A practical approach to building neural network models using PyTorch. Packt Publishing, 2018.
Find full textKumar, Rahul, Matthew Lamons, and Abhishek Nagaraja. Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems. Packt Publishing, 2018.
Find full textPython Deep Learning Projects: 9 Projects Demystifying Neural Network and Deep Learning Models for Building Intelligent Systems. de Gruyter GmbH, Walter, 2018.
Find full text1st, Mohammad Razeef. Neural Network and Deep Learning Approaches for Rainfall Prediction in Jammu and Kashmir. INSC International Publisher (IIP), 2021.
Find full textVerhelst, Marian, Bert Moons, and Daniel Bankman. Embedded Deep Learning: Algorithms, Architectures and Circuits for Always-on Neural Network Processing. Springer, 2019.
Find full textDong, Ganggang, Yuanxin Ye, and Zhongling Huang, eds. Advanced Research and Applications of Deep Learning and Neural Network in Image Recognition. MDPI, 2024. http://dx.doi.org/10.3390/books978-3-7258-0424-5.
Full textVerhelst, Marian, Bert Moons, and Daniel Bankman. Embedded Deep Learning: Algorithms, Architectures and Circuits for Always-on Neural Network Processing. Springer, 2018.
Find full textVerdhan, Vaibhav. Computer Vision Using Deep Learning: Neural Network Architectures with Python, Keras, and TensorFlow. Apress L. P., 2021.
Find full textSilaparasetty, Vinita. Deep Learning Projects Using TensorFlow 2: Neural Network Development with Python and Keras. Apress, 2020.
Find full textKumar, Sathish, and Landon Adrian. Learn Data Analytics for Beginners: Data Analyst, Deep Learning, Neural Network, Python Data Analytics. Independently Published, 2019.
Find full textDeep Learning with Pytorch: A Practical Approach to Building Neural Network Models Using Pytorch. de Gruyter GmbH, Walter, 2018.
Find full textCiaburro, Giuseppe. Keras 2. x Projects: 9 Projects Demonstrating Faster Experimentation of Neural Network and Deep Learning Applications Using Keras. Packt Publishing, Limited, 2018.
Find full textMitchell, Laura, Vishnu Subramanian, and Sri Yogesh K. Deep Learning with Pytorch 1. x: Implement Deep Learning Techniques and Neural Network Architecture Variants Using Python, 2nd Edition. Packt Publishing, Limited, 2019.
Find full textHands-On Deep Learning for IoT: Train Neural Network Models to Develop Intelligent IoT Applications. Packt Publishing, Limited, 2019.
Find full textBurns, Samuel. Python Deep learning: Develop your first Neural Network in Python Using TensorFlow, Keras, and PyTorch. Independently published, 2019.
Find full textR Deep Learning Projects: Master the techniques to design and develop neural network models in R. Packt Publishing, 2018.
Find full textGridin, Ivan. Automated Deep Learning Using Neural Network Intelligence: Develop and Design Pytorch and TensorFlow Models Using Python. Apress L. P., 2022.
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