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Tag: Microcontrollers

  • 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
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 506 pages

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    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

  • MSP430FR5720IRGET, IC MCU 16-bit Microcontrollers 4KB FRAM 24VQFN

    MSP430FR5720IRGET, IC MCU 16-bit Microcontrollers 4KB FRAM 24VQFN



    MSP430FR5720IRGET, IC MCU 16-bit Microcontrollers 4KB FRAM 24VQFN

    Price : 522.50

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    Introducing the MSP430FR5720IRGET: The Ultimate 16-bit Microcontroller with 4KB FRAM and 24VQFN Packaging

    If you’re looking for a powerful and versatile microcontroller for your next project, look no further than the MSP430FR5720IRGET. This 16-bit MCU offers 4KB of FRAM (Ferroelectric RAM), which provides fast read/write speeds and high endurance compared to traditional flash memory.

    With its 24VQFN packaging, the MSP430FR5720IRGET is compact and easy to integrate into your design. This microcontroller is perfect for a wide range of applications, from industrial control systems to consumer electronics.

    Key features of the MSP430FR5720IRGET include:

    – Ultra-low power consumption, making it ideal for battery-powered devices
    – Integrated peripherals such as timers, UART, and ADC for added functionality
    – Security features to protect your code and data from unauthorized access
    – Flexible clocking options to optimize performance and energy efficiency

    Whether you’re a hobbyist, student, or professional engineer, the MSP430FR5720IRGET is a reliable and cost-effective choice for your next project. Order yours today and experience the power and versatility of this advanced microcontroller.
    #MSP430FR5720IRGET #MCU #16bit #Microcontrollers #4KB #FRAM #24VQFN, MSP

  • 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's Brand Story

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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

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    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

  • Programmable Microcontrollers: Applications on the MSP432 LaunchPad – VERY GOOD

    Programmable Microcontrollers: Applications on the MSP432 LaunchPad – VERY GOOD



    Programmable Microcontrollers: Applications on the MSP432 LaunchPad – VERY GOOD

    Price : 39.32

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    Programmable Microcontrollers: Applications on the MSP432 LaunchPad – VERY GOOD

    The MSP432 LaunchPad is a powerful development platform that allows users to easily experiment with programmable microcontrollers. With its low cost and easy-to-use interface, the MSP432 LaunchPad is an ideal tool for beginners and experienced developers alike.

    There are countless applications for programmable microcontrollers, and the MSP432 LaunchPad is no exception. From simple LED blinking projects to more complex IoT applications, the MSP432 LaunchPad can handle a wide range of tasks.

    One popular application for the MSP432 LaunchPad is in the field of robotics. By programming the microcontroller to control motors and sensors, users can create their own autonomous robots or remote-controlled vehicles. With the MSP432 LaunchPad’s built-in capabilities for interfacing with external devices, the possibilities are endless.

    Another common application for the MSP432 LaunchPad is in home automation. By programming the microcontroller to control lights, appliances, and other household devices, users can create a smart home system that can be controlled remotely or set to operate on a schedule.

    Overall, the MSP432 LaunchPad is a versatile tool that can be used for a wide variety of applications. Whether you’re a hobbyist looking to create fun projects or a professional developer working on a commercial product, the MSP432 LaunchPad is a great choice for your programmable microcontroller needs.
    #Programmable #Microcontrollers #Applications #MSP432 #LaunchPad #GOOD, MSP

  • Programmable Microcontrollers with Applications: MSP430 LaunchPad with CCS and Grace

    Programmable Microcontrollers with Applications: MSP430 LaunchPad with CCS and Grace


    Price: $43.79
    (as of Dec 24,2024 02:41:53 UTC – Details)


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    ASIN ‏ : ‎ B00DRC970W
    Publisher ‏ : ‎ McGraw Hill; 1st edition (August 29, 2013)
    Publication date ‏ : ‎ August 29, 2013
    Language ‏ : ‎ English
    File size ‏ : ‎ 20903 KB
    Simultaneous device usage ‏ : ‎ Up to 4 simultaneous devices, per publisher limits
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 566 pages

    Customers say

    Customers find the book useful for learning MSP430 programming. They say it’s easy to read, with clear English diction and explanations of example code in detail. The layout is nice and the book discusses code in C, assembly, and Grace.

    AI-generated from the text of customer reviews

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    In today’s world of technology, programmable microcontrollers have become an essential component in various electronic devices. One such popular microcontroller is the MSP430 LaunchPad, which is widely used in embedded systems and IoT applications.

    The MSP430 LaunchPad is a low-cost development board that comes with a powerful MSP430 microcontroller from Texas Instruments. It is designed to provide a smooth and easy development experience for beginners as well as experienced engineers. The LaunchPad is compatible with Code Composer Studio (CCS) and Grace, which are powerful software tools for programming and debugging microcontrollers.

    CCS is a comprehensive integrated development environment (IDE) that provides a complete set of tools for writing, compiling, and debugging code for the MSP430 microcontroller. It offers advanced features such as code profiling, system analysis, and real-time debugging, making it an ideal tool for developing complex applications.

    Grace, on the other hand, is a graphical code generation tool that allows developers to quickly and easily configure peripherals and generate code for the MSP430 microcontroller. It simplifies the process of setting up timers, UART, ADC, and other peripherals, saving time and effort in the development process.

    With the combination of MSP430 LaunchPad, CCS, and Grace, developers can create innovative applications such as smart home devices, wearable electronics, industrial control systems, and more. The flexibility and versatility of the MSP430 microcontroller make it suitable for a wide range of applications, from simple LED blinking projects to complex sensor interfacing tasks.

    Overall, the MSP430 LaunchPad with CCS and Grace is a powerful combination for developing applications with programmable microcontrollers. Whether you are a hobbyist, student, or professional engineer, this platform provides all the tools and resources you need to bring your ideas to life. So, why wait? Get started with MSP430 LaunchPad today and unleash your creativity in the world of embedded systems.
    #Programmable #Microcontrollers #Applications #MSP430 #LaunchPad #CCS #Grace, MSP

  • 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)


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    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

    Customers say

    Customers find the book’s explanations thorough and valuable. They appreciate the concise and no-fluff approach that combines theory and hands-on learning. Readers describe the book as great, well-written, and entertaining for developers of all levels.

    AI-generated from the text of customer reviews

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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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