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Deep learning architectures : a mathematical approach
Material type:
TextLanguage: English Series: Springer series in the data sciencesPublication details: Springer, 2020Description: xxx, 760 pISBN: - 9783030367237 (PB)
- 006.310151 CAL(DEE)
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
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Central Library | 006.310151 CAL(DEE) (Browse shelf(Opens below)) | 1 | Checked out | 01/21/2025 | 37491 |
Total holds: 0
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| 006.31 WAT(MAC) Machine learning refined : foundations, algorithms, and applications | 006.31 ZHE(FEA) Feature engineering for machine learning : principles and techniques for data scientists | 006.31 ZHO(MAC) Machine Learning | 006.310151 CAL(DEE) Deep learning architectures : a mathematical approach | 006.31015195 ARN(COM) A computational approach to statistical learning | 006.31015195 MAC Machine learning and statistics : the interface | 006.312 AGG(DAT) Data mining : the textbook |
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