Tag: Swift

  • ARKit by Tutorials: Building Augmented Reality Apps in Swift 4 – GOOD

    ARKit by Tutorials: Building Augmented Reality Apps in Swift 4 – GOOD



    ARKit by Tutorials: Building Augmented Reality Apps in Swift 4 – GOOD

    Price : 159.97

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    ARKit by Tutorials: Building Augmented Reality Apps in Swift 4 – A Must-Have Resource for Developers!

    Augmented Reality (AR) is one of the most exciting technologies in the world of app development, and with the release of ARKit by Apple, developers now have a powerful tool at their disposal to create immersive AR experiences. If you’re looking to dive into AR development using Swift 4, then ARKit by Tutorials is the perfect resource for you.

    This comprehensive guide takes you through the fundamentals of ARKit and Swift 4, teaching you how to build AR apps from scratch. You’ll learn how to track and place virtual objects in the real world, create interactive experiences, and leverage the latest features of ARKit to take your apps to the next level.

    Whether you’re a beginner or an experienced developer, ARKit by Tutorials is a valuable resource that will help you master the art of building AR apps in Swift 4. So don’t miss out on this opportunity to learn from the best and start creating cutting-edge AR experiences today!
    #ARKit #Tutorials #Building #Augmented #Reality #Apps #Swift #GOOD, augmented reality

  • IMPLEMENTING CLOUD STORAGE WITH OPENSTACK SWIFT By Amar Kapadia & Sreedhar Varma

    IMPLEMENTING CLOUD STORAGE WITH OPENSTACK SWIFT By Amar Kapadia & Sreedhar Varma



    IMPLEMENTING CLOUD STORAGE WITH OPENSTACK SWIFT By Amar Kapadia & Sreedhar Varma

    Price : 24.49

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    OpenStack Swift is a highly scalable and reliable cloud storage solution that allows you to store and retrieve large amounts of data with ease. In this post, we will discuss how to implement cloud storage with OpenStack Swift, as outlined by Amar Kapadia and Sreedhar Varma.

    First and foremost, it is important to understand the basic architecture of OpenStack Swift. Swift is a distributed object storage system that allows you to store and retrieve data through a RESTful API. It is designed to be highly scalable and fault-tolerant, making it an ideal solution for storing large amounts of data in the cloud.

    To implement cloud storage with OpenStack Swift, you will need to set up a Swift cluster. This involves deploying multiple storage nodes that work together to store and replicate data across the cluster. You will also need to configure authentication and access control mechanisms to ensure that only authorized users can access the stored data.

    Once your Swift cluster is up and running, you can start uploading and retrieving data using the Swift API. You can use tools like the Swift command-line client or the Swift API libraries to interact with your Swift cluster and manage your data.

    In addition to storing and retrieving data, OpenStack Swift also provides features like data replication, data versioning, and data lifecycle management. These features allow you to ensure the integrity and availability of your data, as well as manage your data efficiently.

    Overall, implementing cloud storage with OpenStack Swift is a powerful way to store and manage large amounts of data in the cloud. With its scalability, reliability, and feature-rich API, Swift is an ideal solution for organizations looking to leverage the power of cloud storage.

    In conclusion, implementing cloud storage with OpenStack Swift can provide numerous benefits for your organization. By following the guidelines outlined by Amar Kapadia and Sreedhar Varma, you can set up a highly scalable and reliable cloud storage solution that meets your organization’s needs.
    #IMPLEMENTING #CLOUD #STORAGE #OPENSTACK #SWIFT #Amar #Kapadia #Sreedhar #Varma, Cloud Computing

  • Convolutional Neural Networks With Swift for Tensorflow : Image Recognition a…

    Convolutional Neural Networks With Swift for Tensorflow : Image Recognition a…



    Convolutional Neural Networks With Swift for Tensorflow : Image Recognition a…

    Price : 47.77

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    Convolutional Neural Networks With Swift for Tensorflow: Image Recognition at Your Fingertips

    Are you looking to dive into the world of image recognition and machine learning using Swift for Tensorflow? Look no further than convolutional neural networks (CNNs).

    CNNs have revolutionized the field of computer vision, allowing for highly accurate image recognition tasks such as object detection, facial recognition, and more. And now, with the power of Swift for Tensorflow, you can easily build and train your own CNN models right from your iOS or macOS device.

    In this post, we’ll explore the basics of CNNs and how you can leverage Swift for Tensorflow to create your own image recognition models. We’ll walk through the process of loading and preprocessing image data, building a CNN model using Swift for Tensorflow, training the model, and finally, making predictions on new images.

    Whether you’re a seasoned machine learning enthusiast or a beginner looking to dip your toes into the world of image recognition, convolutional neural networks with Swift for Tensorflow are sure to elevate your skills to the next level. Stay tuned for more in-depth tutorials and resources on how you can harness the power of CNNs with Swift for Tensorflow.
    #Convolutional #Neural #Networks #Swift #Tensorflow #Image #Recognition #a..

  • NetApp X5529A-R6 Universal Rack Rail Kit Swift 4-Post L Bracket DS4243 DS4246

    NetApp X5529A-R6 Universal Rack Rail Kit Swift 4-Post L Bracket DS4243 DS4246



    NetApp X5529A-R6 Universal Rack Rail Kit Swift 4-Post L Bracket DS4243 DS4246

    Price : 89.99

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    Are you in need of a reliable rack rail kit for your NetApp storage system? Look no further than the NetApp X5529A-R6 Universal Rack Rail Kit Swift 4-Post L Bracket DS4243 DS4246. This kit is designed to securely mount your NetApp DS4243 or DS4246 storage system in a standard 19-inch rack.

    With easy installation and sturdy construction, this rack rail kit provides the stability and support your storage system needs. Don’t take any chances with your valuable data – invest in the NetApp X5529A-R6 Universal Rack Rail Kit Swift 4-Post L Bracket DS4243 DS4246 today.
    #NetApp #X5529AR6 #Universal #Rack #Rail #Kit #Swift #4Post #Bracket #DS4243 #DS4246, NetApp

  • uArm Swift Pro Open Source Robotic Arm Kit Read L

    uArm Swift Pro Open Source Robotic Arm Kit Read L



    uArm Swift Pro Open Source Robotic Arm Kit Read L

    Price : 599.00

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    uArm Swift Pro Open Source Robotic Arm Kit Read L

    Are you interested in building and programming your own robotic arm? Look no further than the uArm Swift Pro Open Source Robotic Arm Kit! This kit comes with everything you need to assemble and control your very own robotic arm.

    With its open-source design, you have the freedom to customize and modify the arm to suit your specific needs. Whether you’re a beginner or an experienced robotic enthusiast, the uArm Swift Pro is perfect for anyone looking to delve into the world of robotics.

    The kit includes high-quality components and a user-friendly interface, making it easy to get started right out of the box. Plus, with its sleek and modern design, the uArm Swift Pro will look great on any desk or workspace.

    So what are you waiting for? Dive into the world of robotics with the uArm Swift Pro Open Source Robotic Arm Kit and start creating and programming your own robotic arm today!
    #uArm #Swift #Pro #Open #Source #Robotic #Arm #Kit #Read

  • Deep Learning with Swift for Tensorflow: Differentiable Programming with Swift (

    Deep Learning with Swift for Tensorflow: Differentiable Programming with Swift (



    Deep Learning with Swift for Tensorflow: Differentiable Programming with Swift (

    Price : 58.54 – 48.78

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    Deep Learning with Swift for TensorFlow: Differentiable Programming with Swift

    In recent years, deep learning has become a crucial component in various fields such as computer vision, natural language processing, and robotics. Swift for TensorFlow is an open-source machine learning library that provides a powerful platform for building and training deep learning models using the Swift programming language.

    One of the key features of Swift for TensorFlow is differentiable programming, which allows developers to easily define and optimize complex mathematical functions. This enables users to train machine learning models with ease, reducing the time and effort required to develop cutting-edge solutions.

    With Swift for TensorFlow, developers can leverage the power of deep learning techniques such as neural networks, convolutional neural networks, and recurrent neural networks to tackle real-world problems. The library provides a high-level API that abstracts away the complexities of building and training models, making it accessible to both beginners and experts in the field.

    Whether you are a seasoned machine learning practitioner or a newcomer to the field, Swift for TensorFlow offers a versatile and efficient platform for developing deep learning solutions. By combining the expressive syntax of Swift with the computational capabilities of TensorFlow, developers can create advanced models with ease and efficiency.

    In conclusion, Swift for TensorFlow is a valuable tool for anyone looking to harness the power of deep learning in their projects. With its support for differentiable programming and a rich set of features, the library provides a solid foundation for building cutting-edge machine learning models. So why not give it a try and see what you can achieve with Deep Learning with Swift for TensorFlow?
    #Deep #Learning #Swift #Tensorflow #Differentiable #Programming #Swift, deep learning

  • Convolutional Neural Networks with Swift for Tensorflow: Image Recognition and D

    Convolutional Neural Networks with Swift for Tensorflow: Image Recognition and D



    Convolutional Neural Networks with Swift for Tensorflow: Image Recognition and D

    Price : 50.27 – 41.89

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    etection

    In this post, we will dive into the world of Convolutional Neural Networks (CNNs) using Swift for Tensorflow. CNNs are a type of deep learning algorithm that is particularly well-suited for image recognition and detection tasks.

    We will start by discussing the basics of CNNs, including how they work and why they are so effective for image-related tasks. We will then move on to implementing a simple CNN using Swift for Tensorflow, a powerful framework that allows us to leverage the full capabilities of Tensorflow in a more user-friendly and intuitive way.

    We will demonstrate how to train a CNN to recognize and classify images using a popular dataset such as CIFAR-10. We will also show how to use pre-trained models for image recognition and how to fine-tune them for specific tasks.

    Finally, we will explore how CNNs can be used for object detection, a more advanced task that involves not only identifying objects in an image but also localizing and classifying them. We will show how to implement a simple object detection model using Swift for Tensorflow and how to evaluate its performance.

    By the end of this post, you will have a solid understanding of how CNNs work, how to implement them using Swift for Tensorflow, and how to apply them to image recognition and object detection tasks. So let’s get started and dive into the exciting world of CNNs with Swift for Tensorflow!
    #Convolutional #Neural #Networks #Swift #Tensorflow #Image #Recognition

  • ASUS ROG Swift 32” 4K Mini LED Gaming Monitor (PG32UQXR) -UHD (3840 x 2160), 160Hz, 1ms, Fast IPS, Local dimming, FreeSync Premium Pro, HDMI 2.1, DisplayPort 2.1 with DSC, Quantum Dot, DisplayHDR1000

    ASUS ROG Swift 32” 4K Mini LED Gaming Monitor (PG32UQXR) -UHD (3840 x 2160), 160Hz, 1ms, Fast IPS, Local dimming, FreeSync Premium Pro, HDMI 2.1, DisplayPort 2.1 with DSC, Quantum Dot, DisplayHDR1000


    Price: $1,247.98
    (as of Dec 24,2024 18:32:58 UTC – Details)



    ASUS ROG Swift PG32UQXR is the premier 4K 160Hz DP2.1 gaming monitor. Designed to deliver incredibly lifelike gaming visuals, Swift PG32UQXR has 576 independent mini LED zones that deliver a peak brightness of 1000 nits, while quantum-dot technology enables over one billion colors for accuracy and smoother gradations.
    32-inch 4K (3840 x 2160) mini LED gaming monitor with 160 Hz refresh rate designed for professional gamers
    ASUS Fast IPS technology enables a 1ms response time (GTG) for sharp gaming visuals with high frame rates
    Full Array Local Dimming (FALD) backlight delivers 576 independent LED zones and peak brightness 1000 nits with DisplayHDR 1000 certification
    HDMI 2.1 supports native 4K 120 Hz gaming without chroma subsampling (4:4:4) on PlayStation 5 and Xbox Series X
    Extensive connectivity options including DisplayPort 2.1 with Display Stream Compression (DSC), HDMI 2.1, USB hub, and a tripod socket on top of the monitor
    3-month Adobe Creative Cloud Subscription: Receive complimentary access with the purchase of this product (valid from 9/15/2021 to 8/31/2025)

    Customers say

    Customers are satisfied with the monitor’s picture quality, build quality, and performance. They find the colors beautiful and the display to look like OLED. Many praise its solid construction and performance. However, some customers have reported issues with image quality, mentioning distortion and color accuracy issues. There are mixed opinions on brightness.

    AI-generated from the text of customer reviews


    Introducing the ASUS ROG Swift 32” 4K Mini LED Gaming Monitor (PG32UQXR) – the ultimate gaming experience in stunning UHD resolution. With a resolution of 3840 x 2160, this monitor delivers crystal-clear visuals that will immerse you in your favorite games like never before.

    But it’s not just about resolution – the PG32UQXR also boasts a blazing-fast 160Hz refresh rate and a lightning-quick 1ms response time, ensuring that every frame is smooth and responsive. The Fast IPS panel technology delivers vibrant colors and wide viewing angles, while local dimming technology enhances contrast for deeper blacks and brighter whites.

    Equipped with FreeSync Premium Pro technology, this monitor eliminates screen tearing and stuttering for a seamless gaming experience. HDMI 2.1 and DisplayPort 2.1 with DSC support ensure compatibility with the latest graphics cards, while Quantum Dot technology and DisplayHDR1000 certification deliver stunning visuals with HDR content.

    Upgrade your gaming setup with the ASUS ROG Swift 32” 4K Mini LED Gaming Monitor (PG32UQXR) and experience gaming like never before.
    #ASUS #ROG #Swift #Mini #LED #Gaming #Monitor #PG32UQXR #UHD #160Hz #1ms #Fast #IPS #Local #dimming #FreeSync #Premium #Pro #HDMI #DisplayPort #DSC #Quantum #Dot #DisplayHDR1000,32 inch 4k portable smart monitor

  • MATLAB for Machine Learning – Second Edition: Unlock the power of deep learning for swift and enhanced results

    MATLAB for Machine Learning – Second Edition: Unlock the power of deep learning for swift and enhanced results


    Price: $49.99 – $47.42
    (as of Dec 24,2024 16:41:35 UTC – Details)



    Are you looking to take your machine learning skills to the next level? Look no further than “MATLAB for Machine Learning – Second Edition.” This comprehensive guide will help you unlock the power of deep learning for swift and enhanced results.

    Whether you’re a seasoned professional or just starting out, this book has something for everyone. You’ll learn how to use MATLAB to build and train neural networks, analyze data, and implement algorithms for machine learning tasks. With step-by-step instructions and real-world examples, you’ll be able to quickly apply what you’ve learned to your own projects.

    Don’t miss out on the opportunity to supercharge your machine learning capabilities. Get your hands on “MATLAB for Machine Learning – Second Edition” today and start seeing results like never before.
    #MATLAB #Machine #Learning #Edition #Unlock #power #deep #learning #swift #enhanced #results

  • ASUS ROG Swift 41.5” 4K OLED Gaming Monitor (PG42UQ) – UHD (3840 x 2160), 138Hz, 0.1ms, HDMI2.1, True 10 bit, DCI-P3 98%, G-SYNC Compatible, DisplayPort, USB, Console Ready, Remote Control, Anti-Glare

    ASUS ROG Swift 41.5” 4K OLED Gaming Monitor (PG42UQ) – UHD (3840 x 2160), 138Hz, 0.1ms, HDMI2.1, True 10 bit, DCI-P3 98%, G-SYNC Compatible, DisplayPort, USB, Console Ready, Remote Control, Anti-Glare


    Price: $1,399.00 – $1,016.78
    (as of Dec 24,2024 15:39:42 UTC – Details)



    ASUS ROG Swift PG42UQ is the world’s first 42-inch OLED gaming monitor, delivering 4K HDR visuals and a 1ms moving picture response time for superfast gaming on a big screen. Enjoy a super-smooth 4K 120 Hz gaming experience on the latest consoles via HDMI 2.1.
    World’s first 41.5” OLED gaming monitor with anti-glare micro-texture coating to reduce reflection and enable accurate colors and better viewing experience
    Premium cooling large custom heatsink for long-term performance
    Gamer-friendly optional uniform brightness function to keep even brightness level while having the option to prevent OLED burn-in
    High contrast ratio in 1,000,000:1 and fast response time in 0.1ms
    Supports VRR technology and ALLM (auto low latency mode) for console gamers
    True 10-bit, 98% DCI-P3 color coverage with 1073.7M colors, factory pre-calibrated with color accuracy ∆E < 2
    Rich Connectivity with HDMI 2.1 x2 (full 48 Gbps bandwidth), HDMI 2.0 x2, DisplayPort 1.4 and USB 3.2 hub
    What’s in the box: HDMI Ultra High Speed Cable, DisplayPort cable, USB 3.2 cable, Power cord, Remote Controller, ROG pouch, Color pre-calibration report, Quick start guide, Warranty Card
    3-month Adobe Creative Cloud Subscription: Receive complimentary access with the purchase of this product (valid from 9/15/2021 to 8/31/2025)

    Customers say

    Customers find the monitor’s color quality and performance good. They appreciate the vivid colors and great picture quality. However, some customers have experienced issues with screen damage. Opinions vary on the build quality, picture quality, brightness, functionality, and size.

    AI-generated from the text of customer reviews


    Introducing the ASUS ROG Swift 41.5” 4K OLED Gaming Monitor (PG42UQ) – UHD (3840 x 2160), 138Hz, 0.1ms, HDMI2.1, True 10 bit, DCI-P3 98%, G-SYNC Compatible, DisplayPort, USB, Console Ready, Remote Control, Anti-Glare

    Get ready to experience gaming like never before with the ASUS ROG Swift 41.5” 4K OLED Gaming Monitor. Featuring a stunning 3840 x 2160 resolution, this monitor delivers incredibly sharp and detailed images that will immerse you in your favorite games. With a refresh rate of 138Hz and a lightning-fast response time of 0.1ms, you can enjoy smooth, lag-free gameplay that will give you the edge over your opponents.

    Equipped with HDMI2.1, DisplayPort, and USB ports, this monitor offers versatile connectivity options for all your gaming devices. Plus, with G-SYNC Compatibility, you can say goodbye to screen tearing and stuttering for a seamless gaming experience. The True 10 bit color depth and DCI-P3 98% color gamut ensure vibrant, lifelike colors that will bring your games to life.

    Not only is the ASUS ROG Swift PG42UQ perfect for PC gaming, but it is also Console Ready, so you can easily connect your favorite gaming console for an immersive gaming experience. And with the included remote control, adjusting settings and navigating menus is a breeze.

    Say goodbye to glare and reflections with the Anti-Glare coating on the screen, ensuring a clear and crisp image even in bright environments. Upgrade your gaming setup with the ASUS ROG Swift 41.5” 4K OLED Gaming Monitor and take your gaming to the next level.
    #ASUS #ROG #Swift #OLED #Gaming #Monitor #PG42UQ #UHD #138Hz #0.1ms #HDMI2.1 #True #bit #DCIP3 #GSYNC #Compatible #DisplayPort #USB #Console #Ready #Remote #Control #AntiGlare,32 inch 4k portable smart monitor

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