TinyML : mamachine learning with TensorFlow Lite on Arduino and ultra-low-power microcontrollers / Pete Warden and Daniel Situnayake.
Material type:
- text
- unmediated
- volume
- 9781492052043
- Q325.5 W372T 2020
Item type | Home library | Collection | Shelving location | Call number | Status | Barcode | |
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BU Library and Learning Space | Books | Book Shelves | Q325.5 W372T 2020 (Browse shelf(Opens below)) | Available | 2019000001469 |
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Q325.5 S364L Learning with kernels : support vector machines, regularization, optimization, and beyond / | Q325.5 S528K Kernel methods for pattern analysis / | Q325.5 T436M 2015 Machine learning : a bayesian and optimization perspective / | Q325.5 W372T 2020 TinyML : mamachine learning with TensorFlow Lite on Arduino and ultra-low-power microcontrollers / | Q325.6 S482D 2019 Deep reinforcement learning : frontiers of artificial intelligence / | Q325.6 S977R 2020 Reinforcement learning : an introduction / | Q325.7 V366N 2000 The nature of statistical learning theory / |
Includes index
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