Books on the topic 'Deep learning based'

Ratha, Nalini K., Vishal M. Patel, and Rama Chellappa, eds. Deep Learning-Based Face Analytics. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74697-1.

Mittag, Gabriel. Deep Learning Based Speech Quality Prediction. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-91479-0.

Tsihrintzis, George A., Maria Virvou, and Lakhmi C. Jain, eds. Advances in Machine Learning/Deep Learning-based Technologies. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-76794-5.

Agarwal, Basant, Richi Nayak, Namita Mittal, and Srikanta Patnaik, eds. Deep Learning-Based Approaches for Sentiment Analysis. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1216-2.

Alla, Sridhar, and Suman Kalyan Adari. Beginning Anomaly Detection Using Python-Based Deep Learning. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5177-5.

Satapathy, Suresh Chandra, Ajay Kumar Jena, Jagannath Singh, and Saurabh Bilgaiyan. Automated Software Engineering: A Deep Learning-Based Approach. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38006-9.

Chaudhuri, Arindam, and Soumya K. Ghosh. Bankruptcy Prediction through Soft Computing based Deep Learning Technique. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6683-2.

Li, Yuecheng, and Hongwen He. Deep Reinforcement Learning-Based Energy Management for Hybrid Electric Vehicles. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-79206-9.

Chellappa, Rama, Nalini K. Ratha, and Vishal M. Patel. Deep Learning-Based Face Analytics. Springer International Publishing AG, 2021.

Chellappa, Rama, Nalini K. Ratha, and Vishal M. Patel. Deep Learning-Based Face Analytics. Springer International Publishing AG, 2022.

Lee, Hyo Jong, ed. Deep Learning-Based Action Recognition. MDPI, 2022. http://dx.doi.org/10.3390/books978-3-0365-5200-2.

Mittag, Gabriel. Deep Learning Based Speech Quality Prediction. Springer International Publishing AG, 2021.

Chen, Hongtian, Kai Zhong, Guangtao Ran, and Chao Cheng, eds. Deep Learning-Based Machinery Fault Diagnostics. MDPI, 2022. http://dx.doi.org/10.3390/books978-3-0365-5174-6.

Patnaik, Srikanta, Basant Agarwal, Namita Mittal, and Richi Nayak. Deep Learning-Based Approaches for Sentiment Analysis. Springer, 2020.

Agarwal, Basant, Namita Mittal, and Richi Nayak. Deep Learning-Based Approaches for Sentiment Analysis. Springer, 2020.

Patnaik, Srikanta, Basant Agarwal, Namita Mittal, and Richi Nayak. Deep Learning-Based Approaches for Sentiment Analysis. Springer, 2021.

Jain, Lakhmi C., and George A. Tsihrintzis. Machine Learning Paradigms: Advances in Deep Learning-Based Technological Applications. Springer International Publishing AG, 2021.

Jain, Lakhmi C., and George A. Tsihrintzis. Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications. Springer, 2020.

Satapathy, Suresh Chandra, Ajay Kumar Jena, Jagannath Singh, and Saurabh Bilgaiyan. Automated Software Engineering: A Deep Learning-Based Approach. Springer, 2020.

Thomas, Stephanie, and Michael Paluszek. Practical MATLAB Deep Learning: A Project-Based Approach. Apress, 2020.

Thomas, Stephanie, Michael Paluszek, and Eric Ham. Practical MATLAB Deep Learning: A Projects-Based Approach. Apress L. P., 2022.

Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks. Apress, 2018.

Michelucci, Umberto. Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks. Apress / KP, 2019.

Singh, Pramod. Learn PySpark: Build Python-based Machine Learning and Deep Learning Models. Apress, 2019.

Chaudhuri, Arindam, and Soumya K. Ghosh. Bankruptcy Prediction through Soft Computing based Deep Learning Technique. Springer, 2017.

Chaudhuri, Arindam, and Soumya K. Ghosh. Bankruptcy Prediction through Soft Computing based Deep Learning Technique. Springer, 2017.

Kneusel, Ron. Deep Learning for Complete Beginners: A Python-Based Introduction. No Starch Press, Incorporated, 2020.

Chowdhary, Chiranji Lal. Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence. IGI Global, 2022.

Chowdhary, Chiranji Lal, ed. Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-5673-6.

Chowdhary, Chiranji Lal. Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence. IGI Global, 2022.

Chowdhary, Chiranji Lal. Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence. IGI Global, 2022.

Guibas, John, and Tejpal Virdi. Vision-Based Deep Learning: A Guidebook for High Schoolers. Independently Published, 2018.

Chowdhary, Chiranji Lal. Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence. IGI Global, 2022.

Chowdhary, Chiranji Lal. Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence. IGI Global, 2022.

Raj, Alex Noel Joseph, Vijayalakshmi G. V. Mahesh, and Nersisson Ruban. Deep Learning-Based Image Analysis under Constrained and Unconstrained Environments. IGI Global, 2020.

Zhang, Yinyan, Shuai Li, and Xuefeng Zhou. Deep Reinforcement Learning with Guaranteed Performance: A Lyapunov-Based Approach. Springer, 2019.

Raj, Alex Noel Joseph, Vijayalakshmi G. V. Mahesh, and Nersisson Ruban. Deep Learning-Based Image Analysis under Constrained and Unconstrained Environments. IGI Global, 2020.

Yeuching, Li, and He Hongwen. Deep Reinforcement Learning-Based Energy Management for Hybrid Electric Vehicles. Springer International Publishing AG, 2022.

Dumbare, Amol. Deep Learning based Image Processing: Cashier-less Self-Checkout Methodology. LAP LAMBERT Academic Publishing, 2021.

Zhang, Yinyan, Shuai Li, and Xuefeng Zhou. Deep Reinforcement Learning with Guaranteed Performance: A Lyapunov-Based Approach. Springer, 2020.

Li, Yeuching, and Hongwen He. Deep Reinforcement Learning-Based Energy Management for Hybrid Electric Vehicles. Morgan & Claypool Publishers, 2022.

He, Hongwen, and Li Yeuching. Deep Reinforcement Learning-Based Energy Management for Hybrid Electric Vehicles. Morgan & Claypool Publishers, 2022.

Li, Yeuching, and Hongwen He. Deep Reinforcement Learning-Based Energy Management for Hybrid Electric Vehicles. Morgan & Claypool Publishers, 2022.

Lattery, Mark J. Deep Learning in Introductory Physics: Exploratory Studies of Modeling-Based Reasoning. Information Age Publishing, Incorporated, 2017.

Lattery, Mark J. Deep Learning in Introductory Physics: Exploratory Studies of Model-Based Reasoning. Information Age Publishing, 2016.

Alla, Sridhar, and Suman Kalyan Adari. Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch. Apress, 2019.

Zhu, Ling. Research on History Teaching in Senior High School Based on Deep Learning: ??????????????? LONGMAN PRESS LTD, 2022.

Yao, Lina. Deep Learning for Eeg-Based Brain-Computer Interfaces: Representations, Algorithms and Applications. World Scientific Publishing UK Limited, 2021.

Raj, Alex Noel Joseph, Vijayalakshmi G. V. Mahesh, and Ruban Nersisson. Handbook of Research on Deep Learning-Based Image Analysis under Constrained and Unconstrained Environments. IGI Global, 2020.

Raj, Alex Noel Joseph, Vijayalakshmi G. V. Mahesh, and Ruban Nersisson. Handbook of Research on Deep Learning-Based Image Analysis under Constrained and Unconstrained Environments. IGI Global, 2020.