02635nam 2200505 450 99646438510331620220506140342.0981-16-2233-710.1007/978-981-16-2233-5(CKB)4100000012001354(DE-He213)978-981-16-2233-5(MiAaPQ)EBC6707217(Au-PeEL)EBL6707217(OCoLC)1264471293(PPN)257354034(EXLCZ)99410000001200135420220506d2021 uy 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierDeep learning and practice with mindspore /Lei Chen1st ed. 2021.Singapore :Springer,[2021]©20211 online resource (XVIII, 394 p. 357 illus., 13 illus. in color.) Cognitive Intelligence and Robotics,2520-1964981-16-2232-9 Chapter 1. Introduction -- Chapter 2. Deep Learning Basics -- Chapter 3. DNN -- Chapter 4. Training of DNNs -- Chapter 5. Convolutional Neural Network -- Chapter 6. RNN -- Chapter 7. Unsupervised Learning: Word Vector -- Chapter 8. Unsupervised Learning: Graph Vector -- Chapter 9. Unsupervised Learning: Deep Generative Model -- Chapter 10. Deep Reinforcement Learning -- Chapter 11. Automated Machine Learning -- Chapter 12. Device-Cloud Collaboration -- Chapter 13. Deep Learning Visualization -- Chapter 14. Data Preparation for Deep Learning.This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore AI computing framework. Divided into 14 chapters, the book covers deep learning, deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), unsupervised learning, deep reinforcement learning, automated machine learning, device-cloud collaboration, deep learning visualization, and data preparation for deep learning. To help clarify the complex topics discussed, this book includes numerous examples and links to online resources.Cognitive Intelligence and Robotics,2520-1964Machine learningArtificial intelligenceMachine learning.Artificial intelligence.006.31Chen Lei1972-966585MiAaPQMiAaPQMiAaPQBOOK996464385103316Deep learning and practice with mindspore2841927UNISA