Книги з теми "Deep learning architecture"

Calin, Ovidiu. Deep Learning Architectures. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36721-3.

Pedrycz, Witold, and Shyi-Ming Chen, eds. Deep Learning: Concepts and Architectures. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31756-0.

Pedrycz, Witold, and Shyi-Ming Chen, eds. Development and Analysis of Deep Learning Architectures. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31764-5.

Kang, Mingu, Sujan Gonugondla, and Naresh R. Shanbhag. Deep In-memory Architectures for Machine Learning. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35971-3.

Mitchell, 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.

Shi, Cong, Ji Liu, and Xichuan Zhou. Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture. Elsevier, 2022.

Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture. Elsevier, 2022.

Bengio, Yoshua. Learning Deep Architectures for AI. Now Publishers Inc, 2009.

Decision Making Handbook: Engineering, IoT, Information Technology, Marketing, Architecture, Deep Learning, Data Mining,TR5, Excel Dashboard, Social Media, Business Development and Artificial Intelligence. Independently Published, 2022.

Daneshtalab, Masoud, and Mehdi Modarressi, eds. Hardware Architectures for Deep Learning. Institution of Engineering and Technology, 2020. http://dx.doi.org/10.1049/pbcs055e.

Daneshtala, Masoud, and Mehdi Modarressi. Hardware Architectures for Deep Learning. Institution of Engineering & Technology, 2020.

Chen, Shyi-Ming, and Witold Pedrycz. Deep Learning: Concepts and Architectures. Springer International Publishing AG, 2020.

Chen, Shyi-Ming, and Witold Pedrycz. Deep Learning: Concepts and Architectures. Springer, 2019.

Calin, Ovidiu. Deep Learning Architectures: A Mathematical Approach. Springer, 2020.

Chaudhury, Krishnendu. Math and Architectures of Deep Learning. Manning Publications Co. LLC, 2022.

Calin, Ovidiu. Deep Learning Architectures: A Mathematical Approach. Springer International Publishing AG, 2021.

Chen, Shyi-Ming, and Witold Pedrycz. Development and Analysis of Deep Learning Architectures. Springer, 2019.

ABBEL, J. ARTIFICIAL INTELLIGENCE with MATLAB. DEEP LEARNING ARCHITECTURES. Independently Published, 2020.

Shanbhag, Naresh R., Mingu Kang, and Sujan Gonugondla. Deep in-Memory Architectures for Machine Learning. Springer International Publishing AG, 2021.

Chen, Shyi-Ming, and Witold Pedrycz. Development and Analysis of Deep Learning Architectures. Springer International Publishing AG, 2020.

Shanbhag, Naresh R., Mingu Kang, and Sujan Gonugondla. Deep In-memory Architectures for Machine Learning. Springer, 2020.

Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow. 2nd ed. Packt Publishing, 2019.

Linguistics, Association for Computational. Proceedings of Deep Learning Inside Out: The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures. Association for Computational Linguistics, 2022.

Verhelst, Marian, Bert Moons, and Daniel Bankman. Embedded Deep Learning: Algorithms, Architectures and Circuits for Always-on Neural Network Processing. Springer, 2018.

Verhelst, Marian, Bert Moons, and Daniel Bankman. Embedded Deep Learning: Algorithms, Architectures and Circuits for Always-on Neural Network Processing. Springer, 2019.

Hands-On Deep Learning Architectures with Python: Create deep neural networks to solve computational problems using TensorFlow and Keras. Packt Publishing, 2019.

Melcher, 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.

Verdhan, Vaibhav. Computer Vision Using Deep Learning: Neural Network Architectures with Python, Keras, and TensorFlow. Apress L. P., 2021.

Shanmugamani, Rajalingappaa, and Rajesh Arumugam. Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications. Packt Publishing - ebooks Account, 2018.

Singh, Anubhav, and Sayak Paul. Hands-On Python Deep Learning for the Web: Integrating Neural Network Architectures to Build Smart Web Apps with Flask, Django, and TensorFlow. Packt Publishing, Limited, 2020.