TinyML : mamachine learning with TensorFlow Lite on Arduino and ultra-low-power microcontrollers / Pete Warden and Daniel Situnayake.
By: Warden, Pete [author].
Contributor(s): Situnayake, Daniel [author].
Material type:
BookCopyright date: Beijing : O'Reilly, ©2020Edition: First edition.Description: 484 pages : illustrations.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781492052043.Call No.:
Q325.5
W372T 2020
Subject(s): Machine learning | Signal processing -- Digital techniques | Microcontrollers | TensorFlowGeneral Note: Includes index
| Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|
| Main Campus Book Shelves | Q325.5 W372T 2020 (Browse shelf) | Available | 2019000001469 |
Browsing Main Campus Shelves , Shelving location: Book Shelves Close shelf browser
| Q325.5 S364L Learning with kernels : | 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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