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Tag: TinyML

  • TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers

    TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers


    Price: $36.87
    (as of Dec 28,2024 15:38:41 UTC – Details)


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    oreilly

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    Oreilly

    Oreilly

    Sharing the knowledge of experts

    O’Reilly’s mission is to change the world by sharing the knowledge of innovators. For over 40 years, we’ve inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.

    Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.

    ASIN ‏ : ‎ B082TY3SX7
    Publisher ‏ : ‎ O’Reilly Media; 1st edition (December 16, 2019)
    Publication date ‏ : ‎ December 16, 2019
    Language ‏ : ‎ English
    File size ‏ : ‎ 24520 KB
    Simultaneous device usage ‏ : ‎ Unlimited
    Text-to-Speech ‏ : ‎ Enabled
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    Print length ‏ : ‎ 506 pages


    TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers

    TinyML, or Tiny Machine Learning, refers to the practice of running machine learning algorithms on ultra-low-power microcontrollers. This allows for the deployment of intelligent applications in small, resource-constrained devices such as wearables, IoT devices, and even smart sensors.

    One of the most popular frameworks for implementing TinyML is TensorFlow Lite, a lightweight version of Google’s TensorFlow machine learning library. By using TensorFlow Lite on microcontrollers like Arduino, developers can leverage the power of machine learning for edge computing applications.

    With TensorFlow Lite, developers can train machine learning models on more powerful hardware and then deploy them on microcontrollers for inference at the edge. This enables real-time decision-making without needing to rely on a constant internet connection or cloud computing resources.

    Using TensorFlow Lite on Arduino and other ultra-low-power microcontrollers opens up a world of possibilities for creating intelligent devices that can perform tasks like image recognition, speech recognition, anomaly detection, and more right on the device itself.

    Overall, TinyML with TensorFlow Lite on Arduino and ultra-low-power microcontrollers is a game-changer for the world of embedded systems and IoT, allowing for the creation of intelligent devices that are efficient, responsive, and capable of running complex machine learning algorithms in a small and power-efficient package.
    #TinyML #Machine #Learning #TensorFlow #Lite #Arduino #UltraLowPower #Microcontrollers

  • TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Mic

    TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Mic



    TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Mic

    Price : 25.98

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    TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Mic

    TinyML, or Tiny Machine Learning, is a growing field that focuses on running machine learning models on very small, low-power devices. One popular platform for TinyML is Arduino, a popular open-source electronics platform that is widely used for building DIY projects and prototypes.

    With the help of TensorFlow Lite, a lightweight version of Google’s TensorFlow machine learning framework, it is now possible to run machine learning models on Arduino boards. This allows for powerful AI capabilities on devices that have limited processing power and memory.

    By combining TensorFlow Lite with ultra-low-power microphones, it is possible to create projects that can recognize sounds, words, and even gestures with high accuracy. This opens up a whole new world of possibilities for IoT devices, wearables, and other applications that require machine learning capabilities in a small and power-efficient package.

    If you are interested in exploring the exciting world of TinyML with TensorFlow Lite on Arduino and ultra-low-power microphones, there are plenty of resources available online to help you get started. From tutorials and sample projects to community forums and support groups, the TinyML community is vibrant and welcoming to newcomers.

    So why wait? Dive into the world of TinyML today and start building amazing AI-powered projects with TensorFlow Lite on Arduino and ultra-low-power microphones. The possibilities are endless!
    #TinyML #Machine #Learning #TensorFlow #Lite #Arduino #UltraLowPower #Mic,machine learning

  • TinyML Cookbook – Second Edition: Combine machine learning with microcontrollers to solve real-world problems

    TinyML Cookbook – Second Edition: Combine machine learning with microcontrollers to solve real-world problems


    Price: $43.99 – $32.99
    (as of Dec 27,2024 04:00:24 UTC – Details)


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    Packt is a leading publisher of technical learning content with the ability to publish books on emerging tech faster than any other.

    Our mission is to increase the shared value of deep tech knowledge by helping tech pros put software to work.

    We help the most interesting minds and ground-breaking creators on the planet distill and share the working knowledge of their peers.

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    Publisher ‏ : ‎ Packt Publishing; 2nd ed. edition (November 29, 2023)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 664 pages
    ISBN-10 ‏ : ‎ 1837637369
    ISBN-13 ‏ : ‎ 978-1837637362
    Item Weight ‏ : ‎ 2.51 pounds
    Dimensions ‏ : ‎ 9.25 x 7.52 x 1.37 inches


    Introducing the second edition of the TinyML Cookbook! This comprehensive guide combines the power of machine learning with the efficiency of microcontrollers to help you solve real-world problems in a variety of fields.

    Whether you’re a beginner or an experienced developer, this cookbook provides step-by-step tutorials, code samples, and project ideas to help you implement TinyML solutions in your projects. From smart sensors and wearable devices to edge computing and IoT applications, TinyML offers endless possibilities for innovation and creativity.

    In this second edition, you’ll find updated recipes, new case studies, and expanded coverage of cutting-edge technologies such as TensorFlow Lite for Microcontrollers and Edge Impulse. Whether you’re interested in image recognition, predictive maintenance, or voice recognition, the TinyML Cookbook has everything you need to get started.

    So why wait? Dive into the world of TinyML and start building intelligent, low-power applications today. Get your copy of the TinyML Cookbook – Second Edition and unlock the potential of machine learning on microcontrollers.
    #TinyML #Cookbook #Edition #Combine #machine #learning #microcontrollers #solve #realworld #problems,machine learning

  • Sipeed M1s Dock RISC-V Linux tinyML AIoT Development Board with RISC-V CPU BLAI 100GOPS NPU with OPS Onboard 768KB SRAM 64MB PSRAM for IoT Edge Computing Support FreeRTOS Linux (with Touch Screen)

    Sipeed M1s Dock RISC-V Linux tinyML AIoT Development Board with RISC-V CPU BLAI 100GOPS NPU with OPS Onboard 768KB SRAM 64MB PSRAM for IoT Edge Computing Support FreeRTOS Linux (with Touch Screen)


    Price: $29.99
    (as of Dec 25,2024 12:42:05 UTC – Details)




    [BL808 AIOT Module ] Sipeed M1s Dock module is an AIoT module based on BL808 RISC-V 480Mhz CPU + NPU BLAI-100 GOPS, it contains 3 cores inside, Built-in 768KB SRAM 64MB UHS PSRAM 16MB eMMC, audio encoder and decoder, video encoder and decoder and AI hardware accelerator (BLAI-100), suitable for a variety of high performance and low power applications.
    [Minimal Design] Sipeed M1s Dock is a development board designed based on Sipeed M1s module，routes interface like MIPI CSI、SPI LCD and FPC connector, to get rid of worries of connecting cable. Designed with the most minimal design, for customers to evaluate the module, or hobbyists to play directly, etc.
    [WIFI/BT/BLE Wireless Unit] Sipeed M1s Dock Support 2.4G WIFI/BT/BLE/Zigbee wireless interconnected unit; Onboard USB to UART debugger, screen interface, MIPI camera interface; Onboard 1 analog microphone、1 LED、1 TF card slot Route USB-OTG to USB Type-C port; support IPEX-I and PCB antenna.
    [OS Support] Sipeed M1s Dock development board fully support for FreeRTOS, Basic support for Linux; Development method: Native C SDK, MaixHAL C module, pikascript python script.
    [AI Reasoning Framework] Sipeed M1s Dock development board Support the BLAI accelerated inference engine of the native SDK, and support the general TinyMaix inference engine; Support face detection, recognition, posture detection, gesture detection, etc.
    [Wiki] “https://dl.sipeed.com/shareURL/MAIX/M1s/M1s_Dock/1_Specification”; Any after-sales problems, please contact us by email: monica#smartfire.cn (#—–>@).Also can click WayPonDEV store and ask a question or leave the message in our forum by “forum.youyeetoo .com/”.


    Introducing the Sipeed M1s Dock: Your Ultimate RISC-V Linux tinyML AIoT Development Board!

    Are you ready to take your IoT Edge Computing projects to the next level? Look no further than the Sipeed M1s Dock, a powerful development board that packs a punch with its RISC-V CPU, BLAI 100GOPS NPU, and onboard 768KB SRAM and 64MB PSRAM.

    With support for FreeRTOS and Linux, including a touch screen option, the M1s Dock is perfect for all your AIoT needs. Whether you’re working on machine learning, computer vision, or sensor fusion projects, this board has got you covered.

    Don’t miss out on the opportunity to unleash your creativity and push the boundaries of what’s possible in the world of IoT. Get your hands on the Sipeed M1s Dock today and start building the next generation of smart devices!
    #Sipeed #M1s #Dock #RISCV #Linux #tinyML #AIoT #Development #Board #RISCV #CPU #BLAI #100GOPS #NPU #OPS #Onboard #768KB #SRAM #64MB #PSRAM #IoT #Edge #Computing #Support #FreeRTOS #Linux #Touch #Screen

  • youyeetoo Sipeed M1s Dock RISC-V AI Development Board with Camera, for AIOT tinyML, Support WiFi/BT/BLE/Zigbee, Linux FreeRTOS (Bundle B)

    youyeetoo Sipeed M1s Dock RISC-V AI Development Board with Camera, for AIOT tinyML, Support WiFi/BT/BLE/Zigbee, Linux FreeRTOS (Bundle B)


    Price: $24.00
    (as of Dec 25,2024 01:46:30 UTC – Details)



    Sipeed M1s Dock is a development board designed based on Sipeed M1s module，routes interface like MIPI CSI、SPI LCD and FPC connector, to get rid of worries about connecting cable. Designed with the most minimal design, for customers to evaluate the module, or hobbyists to play directly, etc.


    Support:
    support @youyeetoo.com
    Communication and customized consulting:
    even @youyeetoo.com
    Whatsapp: +86 150 1406 1350
    Forum: forum.youyeetoo.com (Recommend)
    If you need support or bulk inquiries, please also contact me.
    MainChip BL808 RISC-V 480Mhz + NPU BLAI-100
    Onboard USB to UART debugger
    Onboard screen interface (Optional 1.69-inch 240×280 capacitor touch screen)
    Onboard MIPI camera interface (Optional 2M solution camera)
    Support 2.4G WIFI / BT / BLE
    Onboard 1 analog microphone、1 LED、1 TF card slot
    Route USB-OTG to USB Type-C port
    【WIKI】wiki.sipeed.com/hardware/en/maix/m1s/other/start.html


    Introducing the youyeetoo Sipeed M1s Dock RISC-V AI Development Board with Camera!

    Are you ready to dive into the world of AIOT tinyML? Look no further than the Sipeed M1s Dock, a powerful development board that will take your projects to the next level. With support for WiFi, Bluetooth, BLE, and Zigbee, this board has everything you need to connect and communicate with other devices.

    But that’s not all – the Sipeed M1s Dock is also equipped with a high-quality camera, allowing you to capture images and videos for your AI projects. Whether you’re working on image recognition, object detection, or any other AI application, this board has you covered.

    And with support for both Linux and FreeRTOS, you can choose the operating system that best suits your needs. Whether you’re a seasoned developer or just starting out, the Sipeed M1s Dock is the perfect tool for your AI projects.

    Don’t miss out on this incredible bundle – get your hands on the Sipeed M1s Dock RISC-V AI Development Board with Camera today! #AIOT #tinyML #RISC-V #developmentboard
    #youyeetoo #Sipeed #M1s #Dock #RISCV #Development #Board #Camera #AIOT #tinyML #Support #WiFiBTBLEZigbee #Linux #FreeRTOS #Bundle

  • Sipeed Maix M1s Dock RISC-V Linux tinyML AIoT Single Board Computer with RISC-V CPU BLAI 100GOPS NPU with OPS for IoT Edge Computing Support FreeRTOS Linux (with Touch Screen and Shell)

    Sipeed Maix M1s Dock RISC-V Linux tinyML AIoT Single Board Computer with RISC-V CPU BLAI 100GOPS NPU with OPS for IoT Edge Computing Support FreeRTOS Linux (with Touch Screen and Shell)


    Price: $35.99
    (as of Dec 24,2024 23:04:04 UTC – Details)




    [BL808 AIOT Module ] Sipeed M1s Dock developing module is an AIOT module based on BL808 RISC-V 480Mhz CPU + NPU BLAI-100 GOPS, it contains 3 cores inside, Built-in 768KB SRAM 64MB UHS PSRAM 16MB eMMC, audio encoder and decoder, video encoder and decoder and AI hardware accelerator (BLAI-100), suitable for a variety of high performance and low power applications.
    [Minimal Design] Sipeed M1s Dock is a development board designed based on Sipeed M1s module，routes interface like MIPI CSI、SPI LCD and FPC connector, to get rid of worries of connecting cable. Designed with the most minimal design, for customers to evaluate the module, or hobbyists to play directly, etc.
    [WIFI/BT/BLE Wireless Unit] Support 2.4G WIFI/BT/BLE/Zigbee wireless interconnected unit; Onboard USB to UART debugger, screen interface, MIPI camera interface; Onboard 1 analog microphone、1 LED、1 TF card slot Route USB-OTG to USB Type-C port; support IPEX-I and PCB antenna.
    [OS Support] Sipeed M1s Dock Single Board Computer fully support for FreeRTOS, Basic support for Linux; Development method: Native C SDK, MaixHAL C module, pikascript python script.
    [AI Reasoning Framework] M1s Dock AI IoT development board Support the BLAI accelerated inference engine of the native SDK, and support the general TinyMaix inference engine; Support face detection, recognition, posture detection, gesture detection, etc.
    [Wiki] SDK:”https://github.com/sipeed/M1s_BL808_SDK”; Any after-sales problems, please contact us by email: monica#smartfire.cn (#—–>@).Also can click WayPonDEV store and ask a question or leave the message in our forum by “forum.youyeetoo .com/”.


    Introducing the Sipeed Maix M1s Dock: Your all-in-one solution for tinyML, AIoT, and edge computing!

    Featuring a powerful RISC-V CPU, BLAI 100GOPS NPU, and support for FreeRTOS and Linux, this single board computer is perfect for all your IoT edge computing needs.

    But that’s not all! The Maix M1s Dock also comes equipped with a touch screen and shell interface, making it easy to interact with your projects and run complex AI algorithms.

    Whether you’re a hobbyist looking to experiment with machine learning or a professional developing cutting-edge AIoT applications, the Sipeed Maix M1s Dock has everything you need to take your projects to the next level.

    Get your hands on the Maix M1s Dock today and start building the future of AI at the edge! #SipeedMaixM1sDock #tinyML #AIoT #EdgeComputing #RISC-VLinux
    #Sipeed #Maix #M1s #Dock #RISCV #Linux #tinyML #AIoT #Single #Board #Computer #RISCV #CPU #BLAI #100GOPS #NPU #OPS #IoT #Edge #Computing #Support #FreeRTOS #Linux #Touch #Screen #Shell

  • youyeetoo Sipeed M1s Dock RISC-V AI Development Board with Camera and Screen, for AIOT tinyML, Support WiFi/BT/BLE/Zigbee, Linux FreeRTOS (Bundle A)

    youyeetoo Sipeed M1s Dock RISC-V AI Development Board with Camera and Screen, for AIOT tinyML, Support WiFi/BT/BLE/Zigbee, Linux FreeRTOS (Bundle A)


    Price: $29.00
    (as of Dec 24,2024 22:25:05 UTC – Details)


    From the brand

    youyeetoo AIOT Provider

    youyeetoo AIOT Provider

    Make development accessible

    youyeetoo is committed to providing customers with a wide range of selection references and offering customised development services.

    youyeetoo

    youyeetoo

    youyeetoo tech was established in 2012 as a company specializing in the R&D, sales, and manufacturing of both hardware and software for the IOT, edge computing, and robotics.

    Our products primarily consist of embedded mainboard, System-on-Modules (SoMs), Single Board Computers (SBCs), and industrial PCs based on the ARM/X86 architecture.

    youyeetoo x1 x86 single board computer

    youyeetoo x1 x86 single board computer

    x1 – Windows Linux X86 SBC

    Start your geek journey

    A Pocket-sized Windows/Linux SBC for Geeks.

    Open-source hardware products

    MainChip BL808 RISC-V 480Mhz + NPU BLAI-100
    Onboard USB to UART debugger
    Onboard screen interface (Optional 1.69-inch 240×280 capacitor touch screen)
    Onboard MIPI camera interface (Optional 2M solution camera)
    Support 2.4G WIFI / BT / BLE
    Onboard 1 analog microphone、1 LED、1 TF card slot
    Route USB-OTG to USB Type-C port
    【WIKI】wiki.sipeed.com/hardware/en/maix/m1s/other/start.html


    Introducing the youyeetoo Sipeed M1s Dock RISC-V AI Development Board, the ultimate tool for AIOT and tinyML projects. This bundle includes a camera and screen, making it perfect for a wide range of applications.

    With support for WiFi, Bluetooth, BLE, and Zigbee, this development board offers seamless connectivity for your projects. Whether you’re working on AI algorithms or IoT devices, the youyeetoo Sipeed M1s Dock has you covered.

    The board is compatible with Linux and FreeRTOS, providing flexibility for different development environments. Whether you’re a beginner or an experienced developer, this board is designed to meet your needs.

    Don’t miss out on this all-in-one solution for your AI and IoT projects. Get your hands on the youyeetoo Sipeed M1s Dock RISC-V AI Development Board today and take your projects to the next level.
    #youyeetoo #Sipeed #M1s #Dock #RISCV #Development #Board #Camera #Screen #AIOT #tinyML #Support #WiFiBTBLEZigbee #Linux #FreeRTOS #Bundle

  • Sipeed M0sense tinyML RISC-V Tiny fingertip AIOT Development Board Based on 32 bits RISC-V BL702 MCU with FPU Onboard 2Mbps BLE and 2.4Ghz Bluetooth V5.0 Support FreeRTOS System

    Sipeed M0sense tinyML RISC-V Tiny fingertip AIOT Development Board Based on 32 bits RISC-V BL702 MCU with FPU Onboard 2Mbps BLE and 2.4Ghz Bluetooth V5.0 Support FreeRTOS System


    Price: $12.99
    (as of Dec 24,2024 20:21:31 UTC – Details)




    [Mainchip BL702] RISC-V 144MHz；32 bits RISC-V with FPU
    [Memory] 132KB RAM，192KB ROM, 512KB Flash
    [BlueTooth 5.0/ BLE]· 2.4Ghz BlueTooth V5.0; 1Mbps and 2Mbps BLE
    [Model Platform] TinyMaix + MaixHub; Optional 0.68 inch 80×160 solution screen
    [Multifunctional interface] Onboard screen interface (Optional 0.68 inch 80×160 solution screen) Onboard 1 analog microphone、1 LED、1 IMU; Route USB 2.0 FS to USB Type-C port
    [Wiki] Open source organization: https://github.com/sipeed; AI service: https://maixhub.com/welcome; Any after-sales problems, please contact us by click WayPonDEV store and ask a question or leave the message in our forum by “forum.youyeetoo .com/”.


    Introducing the Sipeed M0sense tinyML RISC-V Development Board!

    This tiny yet powerful development board is equipped with a 32-bit RISC-V BL702 MCU with FPU, making it perfect for AIOT (AI + IoT) projects. With onboard 2Mbps BLE and 2.4Ghz Bluetooth V5.0 support, you can easily connect your projects to other devices wirelessly.

    The Sipeed M0sense also comes with FreeRTOS system, providing you with a real-time operating system for efficient multitasking. Whether you’re working on machine learning applications, sensor data processing, or smart home devices, this development board has got you covered.

    Get your hands on the Sipeed M0sense and start building your next AIOT project today! #tinyML #RISC-V #AIOT #developmentboard #SipeedM0sense
    #Sipeed #M0sense #tinyML #RISCV #Tiny #fingertip #AIOT #Development #Board #Based #bits #RISCV #BL702 #MCU #FPU #Onboard #2Mbps #BLE #2.4Ghz #Bluetooth #V5.0 #Support #FreeRTOS #System

  • Sipeed M0sense tinyML RISC-V Tiny fingertip AIOT Development Board Based on 32 bits RISC-V BL702 MCU with FPU Onboard 132KB RAM 192KB ROM 512KB Flash 2Mbps BLE and Bluetooth 5.0 Support FreeRTOS

    Sipeed M0sense tinyML RISC-V Tiny fingertip AIOT Development Board Based on 32 bits RISC-V BL702 MCU with FPU Onboard 132KB RAM 192KB ROM 512KB Flash 2Mbps BLE and Bluetooth 5.0 Support FreeRTOS


    Price: $11.99
    (as of Dec 24,2024 12:01:04 UTC – Details)


    From the brand

    WayPonDEV AIOT Single board Computer Provider

    WayPonDEV AIOT Single board Computer Provider

    Carry out your ideas with us!

    WayPonDEV team is able to help you to carry out your ideas since we could povide the most complete OEM/ODM service

    WayPonDEV Single board Computer Provider

    WayPonDEV Single board Computer Provider

    WayPonDEV team has been dedicated to doing R&D in embeded systems for more than 10 years. Whether you want to customize hardware/software or want to design a computer from scratch, we can proceed it for you.

    Our ever-growing product catalog boasts over 2000 components and widgets from IOT sensors, lidars, realsense depth cameras,single board computers, robotic platform, communication modules.

    youyeetoo X1 x86 single board computer

    youyeetoo X1 x86 single board computer

    X1 x86 Single Board Computer

    X1 x86 SBC can be integrated into various applications such as industrial automation, IoT gateways, robots, and others.

    Single Board Computer/Mini PC

    Who we are

    Having been doing R&D in embedded systems and electronic hardware for more than 10 years. WayPonDEV Team is an experienced robotics and open-source IOT hardware provider and designer, catering to hardware engineers, DIY enthusiasts and interactive designers.

    What we have

    OEM/ODM Available for Smart Hardware and Accessories

    Experienced in International Trading

    Global Warehouse cover American,European and Asian region

    What we do

    Carry out your ideas!

    [Mainchip BL702] RISC-V 144MHz；32 bits RISC-V with FPU
    [Memory] 132KB RAM，192KB ROM, 512KB Flash
    [BlueTooth 5.0/ BLE]· 2.4Ghz BlueTooth V5.0; 1Mbps and 2Mbps BLE
    [Model Platform] TinyMaix + MaixHub; Optional 0.68 inch 80×160 solution screen
    [Multifunctional interface] Onboard screen interface (Optional 0.68 inch 80×160 solution screen) Onboard 1 analog microphone、1 LED、1 IMU; Route USB 2.0 FS to USB Type-C port
    [Wiki] Open source organization: https://github.com/sipeed; AI service: https://maixhub.com/welcome; Any after-sales problems, please contact us by click WayPonDEV store and ask a question or leave the message in our forum by “forum.youyeetoo .com/”.


    Introducing the Sipeed M0sense tinyML RISC-V Development Board – the perfect solution for all your AIOT projects! This tiny yet powerful board is based on the 32-bit RISC-V BL702 MCU with FPU, making it ideal for running machine learning models on the edge.

    With onboard 132KB RAM, 192KB ROM, and 512KB Flash memory, the M0sense is equipped to handle even the most demanding AI applications. It also features 2Mbps BLE and Bluetooth 5.0 support, allowing for seamless connectivity with other devices.

    The M0sense comes pre-installed with FreeRTOS, a popular real-time operating system, making it easy to develop and deploy your AI models. Whether you’re working on sensor data processing, facial recognition, or voice command applications, the M0sense has you covered.

    Don’t let its small size fool you – the Sipeed M0sense packs a big punch when it comes to AIOT development. Get yours today and start bringing your projects to life!
    #Sipeed #M0sense #tinyML #RISCV #Tiny #fingertip #AIOT #Development #Board #Based #bits #RISCV #BL702 #MCU #FPU #Onboard #132KB #RAM #192KB #ROM #512KB #Flash #2Mbps #BLE #Bluetooth #Support #FreeRTOS

  • TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers

    TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers


    Price: $49.99 – $31.51
    (as of Dec 17,2024 16:28:40 UTC – Details)


    From the brand

    oreilly

    oreilly

    Explore our collection

    Oreilly

    Oreilly

    Sharing the knowledge of experts

    O’Reilly’s mission is to change the world by sharing the knowledge of innovators. For over 40 years, we’ve inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.

    Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.

    Publisher ‏ : ‎ O’Reilly Media; 1st edition (January 21, 2020)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 501 pages
    ISBN-10 ‏ : ‎ 1492052043
    ISBN-13 ‏ : ‎ 978-1492052043
    Item Weight ‏ : ‎ 1.75 pounds
    Dimensions ‏ : ‎ 7.01 x 1.01 x 9.17 inches

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    TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers

    TinyML, or Tiny Machine Learning, is a growing field that focuses on running machine learning models on ultra-low-power devices, such as microcontrollers. With the advancements in hardware and software, it is now possible to deploy TensorFlow Lite models on Arduino boards and other microcontrollers, enabling edge computing and real-time inference on small, battery-powered devices.

    In this post, we will explore the possibilities of running machine learning models on Arduino using TensorFlow Lite. We will discuss the benefits of using ultra-low-power microcontrollers for machine learning tasks, the challenges of deploying models on resource-constrained devices, and the tools and libraries available for developing and deploying TinyML applications.

    Stay tuned for more updates on TinyML and how you can leverage the power of machine learning on Arduino and other ultra-low-power microcontrollers.
    #TinyML #Machine #Learning #TensorFlow #Lite #Arduino #UltraLowPower #Microcontrollers

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