Deep learning and practice with MindSpore / Lei Chen
Series: Cognitive intelligence and roboticsPublication details: Singapore: Springer, 2021. Description: xviii, 394 pISBN: 9789811622328Subject(s): Artificial Intelligence | Machine LearningUDC classification: 007.52 | L525 Online resources: Click here to access online| Item type | Current library | Home library | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
| Jadavpur University | Jadavpur University | Available | ET13206 |
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.
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