Nat  Kutch

Nat Kutch

1595720220

Deploy a TensorFlow Model to a Mobile or an Embedded Device

If you want to deploy your TensorFlow model to a mobile or embedded device, a large model may take too long to download and use too much RAM and CPU, all of which will make your app unresponsive, heat the device and drain its battery. To avoid this, you need to make a mobile-friendly. Lightweight, and efficient model, without sacrificing too much of its accuracy.

Before Deploying a TensorFlow model to a mobile, I suggest you to learn how to Deploy a machine learning model to a Web Application. This will help to to understand things better before getting into to deploy a TensorFlow model to a Mobile or embedded Device.

The file library provides several tools to help you deploy your TensorFlow model to a mobile and embedded devices, with three main objectives:

  • Reduce the model size to shorten download time and reduce RAM usage.
  • Reduce the number of computations needed for each prediction to minimize latency, battery usage, and heating.
  • Adapt the model to device-specific constraints.

Train and Deploy a TensorFlow Model to a Mobile

While you Deploy a Machine Learning Model, you need to reduce the model size, TFLite’s model converter can take a saved model and compress it to a much lighter format based on FlatBuffers. This is a dynamic, cross-platform serialization library initially created by Google without any preprocessing: this reduces the loading time and memory footprint.

Top 4 Most Popular Ai Articles:

1. Natural Language Generation:

The Commercial State of the Art in 2020

2. This Entire Article Was Written by Open AI’s GPT2

3. Learning To Classify Images Without Labels

4. Becoming a Data Scientist, Data Analyst, Financial Analyst and Research Analyst

Once the model is loaded into a mobile or embedded device, the TFLite interpreter will execute it to make predictions.

Here_ is how you can convert a saved model to a FlatBuffer and save it to a .tflite file._

How Does it work to Deploy a TensorFlow Model to Mobile

While you Deploy a TensorFlow model to a mobile, the converter optimizes the model, both to shrink it and to reduce its latency. It prunes all the operations that are not needed to make predictions ( such as training operations), and it optimizes computations whenever possible; for example, 3a + 4a +5*a will be converted to (3+4+5)*a. It also tries to fuse operations whenever possible.

For example, Batch Normalization layers end up folded into pervious layer’s addition and multiplication operations, whenever possible. To get a good idea of how much TFLite can optimize a model, download one of the pretrained TFLite models_,_ unzip the archive, then open the excellent Netron graph visualization tooland upload the.pb file to view the original model. It’s a big, elaborate graph. Next, open the optimized. Tflite model marvel at its beauty.

#tensorflow #deep-learning #python #ai #deep learning

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Deploy a TensorFlow Model to a Mobile or an Embedded Device
Seamus  Quitzon

Seamus Quitzon

1594682206

Laravel detect mobile device and redirect mobile website htaccess

In this article, i will let you know laravel detect mobile device and redirect mobile website. So let’s see how can we detect mobile device and redirect website to the mobile website.

A web application can be open on desktops, laptops, tablets and mobiles. But a large application should be optimized for all devices means if we open it on desktop, there might be heavy resources used that would be not compatible for mobile devices. So we can redirect this website to mobile website or mobile freindly website. We generally see that if we open a website on mobile device, it redirects to like http://m.domain.com.

Here, in this article we will see two seperate example to implement this. First one would be using .htaccess file and second one is using laravel route.

Example 1: Using .htaccess file

For detacting mobile device and redirect to the mobile website, we will need to create a .htaccess file on root directory of application. So create this .htaccess file and update the following lines of code.

RewriteEngine On
RewriteCond %{QUERY_STRING} !^desktop
RewriteCond %{HTTP_USER_AGENT} "android|blackberry|googlebot-mobile|iemobile|iphone|ipod|#opera mobile|palmos|webos" [NC]
RewriteCond %{HTTP_USER_AGENT} "acs|alav|alca|amoi|audi|aste|avan|benq|bird|blac|blaz|brew|cell|cldc|cmd-" [NC,OR]
RewriteCond %{HTTP_USER_AGENT} "dang|doco|eric|hipt|inno|ipaq|java|jigs|kddi|keji|leno|lg-c|lg-d|lg-g|lge-" [NC,OR]
RewriteCond %{HTTP_USER_AGENT}  "maui|maxo|midp|mits|mmef|mobi|mot-|moto|mwbp|nec-|newt|noki|opwv" [NC,OR]
RewriteCond %{HTTP_USER_AGENT} "palm|pana|pant|pdxg|phil|play|pluc|port|prox|qtek|qwap|sage|sams|sany" [NC,OR]
RewriteCond %{HTTP_USER_AGENT} "sch-|sec-|send|seri|sgh-|shar|sie-|siem|smal|smar|sony|sph-|symb|t-mo" [NC,OR]
RewriteCond %{HTTP_USER_AGENT} "teli|tim-|tosh|tsm-|upg1|upsi|vk-v|voda|w3cs|wap-|wapa|wapi" [NC,OR]
RewriteCond %{HTTP_USER_AGENT} "wapp|wapr|webc|winw|winw|xda|xda-" [NC,OR]
RewriteCond %{HTTP_USER_AGENT} "up.browser|up.link|windowssce|iemobile|mini|mmp" [NC,OR]
RewriteCond %{HTTP_USER_AGENT} "symbian|midp|wap|phone|pocket|mobile|pda|psp" [NC]
RewriteRule ^$ http://m.domain.com [L,R=302]

Example 2: Using Laravel Routes

After doing this through .htaccess, we can also detect mobile device and redirect to mobile site using laravel routes.

For doing this, we will need to create laravel routes and will need to add some lines of code to do this as written below.

function isMobile() {
    if(isset($_SERVER['HTTP_USER_AGENT'])) {
    $useragent=$_SERVER['HTTP_USER_AGENT'];
    if(preg_match('/(tablet|ipad|amazon|playbook)|(android(?!.*(mobi|opera mini)))/i', strtolower($useragent))) {
        return true ;
    } ;

    if(preg_match('/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i',$useragent)||preg_match('/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i',substr($useragent,0,4))){
            return true ;
        }
    }
    return 0 ;
}
if(isMobile()) {
    include_once(app_path().'/routes/mobile_routes.php');
} else {
    require_once(app_path().'/routes/website_routes.php');
}

From both of the above methods, we can detect mobile device and redirect to their specific version of website. You can choose any of these two methods.

#laravel #detect devices in laravel #how to detect mobile device in laravel #how to redirect to a mobile device #laravel detect mobile device and redirect mobile website htaccess #laravel mobile redirection

Michael  Hamill

Michael Hamill

1617331277

Workshop Alert! Deep Learning Model Deployment & Management

The Association of Data Scientists (AdaSci), the premier global professional body of data science and ML practitioners, has announced a hands-on workshop on deep learning model deployment on February 6, Saturday.

Over the last few years, the applications of deep learning models have increased exponentially, with use cases ranging from automated driving, fraud detection, healthcare, voice assistants, machine translation and text generation.

Typically, when data scientists start machine learning model development, they mostly focus on the algorithms to use, feature engineering process, and hyperparameters to make the model more accurate. However, model deployment is the most critical step in the machine learning pipeline. As a matter of fact, models can only be beneficial to a business if deployed and managed correctly. Model deployment or management is probably the most under discussed topic.

In this workshop, the attendees get to learn about ML lifecycle, from gathering data to the deployment of models. Researchers and data scientists can build a pipeline to log and deploy machine learning models. Alongside, they will be able to learn about the challenges associated with machine learning models in production and handling different toolkits to track and monitor these models once deployed.

#hands on deep learning #machine learning model deployment #machine learning models #model deployment #model deployment workshop

Rahim Makhani

Rahim Makhani

1616669264

On-Demand Mobile App Development Services in USA

Mobile apps are developing day-by-day and the usage of mobile apps is also increasing. There are many mobile app development company that are providing services for on-demand mobile app development services.

One of the leading mobile app development company in the USA is Nevina Infotech. It is the best known for providing on-demand app development services till now.

Our On-Demand Mobile App Development Services:-

iPhone App Development
Android App Development
iPad App Development
Game App Development
ionic App Development
Wearable App Development
Flutter App Development

#mobile app development company #mobile app development services #mobile application development services #mobile application development company #mobile app development company usa

Harry Patel

Harry Patel

1607076347

Mobile Websites Development or Building Mobile App for Business?

What is more vital for a business, mobile website development or building a mobile app specifically designed and developed for particular businesses needs and requirements, and marketer trends. It is important to understand what are trends are going on in the market, and incorporating those trends in the digital products helps a lot in building a great relationship with our consumers.

Although there is confusion to choose which digital products would be a good fit for your business, according to my experience, I would suggest businesses to develop mobile websites, as they are more reliable and secured for their targeted audience, mobile apps are also a good medium of engaging with the targeting audience, but sometimes mobile’s notification, security guidelines irritate a lot to its users, and therefore several times this user uninstalls those mobile applications, which can be reduced if we use mobile websites, there are no such things, that can annoy users if they are on mobile websites.

Now as we know mobile websites perform well and appeal more to the targeted audience, how to find those leading mobile website development companies around us, like mobile website development Chicago, if your business is an operation in Chicago or neighbor regions, as I have been functioning as a mobile websites developer in the USA for 7 years, I am well aware of the local companies operations, and how and what approached they use in the mobile website development process.

Mobile website development is a wide topic to cover, though there are a few areas that many mobile website development firms ignore while developing these mobile websites for business, which I feel hold a major proportion in the development approach of mobile websites.

  • Consistency is Navigations
  • Weak Coding Foundation
  • Implementing Heavy Layouts

These 3 factors I feel the most ignored aspects of mobile website development for businesses, and more mobile website development firms don’t focus on these prospects and that leads to huge loss to those businesses mobile websites.

  • Consistency in Navigations

Several times because of workload and the near deadline mobile website designer ignores this vital part of building a mobile website, consistency in the navigational area are the reasons of not getting much engagement on your mobile website.

Because, if users would not be satisfied with the designs & the navigations, how they will operate and interact with a mobile website, as they don’t understand what buttons take you where.

  • Weak Coding Foundation

Development of mobile websites relies on coding structure and how they have been made for the users, if a mobile web developer have did an error while building the foundation of the coding structure, that error will enlarge at the end of the product summarizing part, and it will cost huge in the overall performance of a mobile web site.

As you know how much foundation is useful in anything, if the foundation was not done rightly, your product is going to fail measurably.

  • Implementing Heavy Layouts

Mobile web designers from companies or individual mobile web designers always did this simple mistake while designing a mobile website, they integrated heavy designing layouts in the simple backed developed mobile websites, and therefore their these experiments fail at a level, they would not able to resolve that issue.

furthermore, incorporating these types of layouts causes loading speed a lot, and that’s what makes this mobile website load slower, and it is not required, as mobile websites are meant to work faster than ordinary websites.

These are the major consideration a business should bear in mind while designing a mobile website for their business, as these hold much potential if your business will succeed online or not.

#mobile websites development or building mobile app for business? #mobile website development company chicago #mobile website development chicago company #mobile website development chicago

Nat  Kutch

Nat Kutch

1595720220

Deploy a TensorFlow Model to a Mobile or an Embedded Device

If you want to deploy your TensorFlow model to a mobile or embedded device, a large model may take too long to download and use too much RAM and CPU, all of which will make your app unresponsive, heat the device and drain its battery. To avoid this, you need to make a mobile-friendly. Lightweight, and efficient model, without sacrificing too much of its accuracy.

Before Deploying a TensorFlow model to a mobile, I suggest you to learn how to Deploy a machine learning model to a Web Application. This will help to to understand things better before getting into to deploy a TensorFlow model to a Mobile or embedded Device.

The file library provides several tools to help you deploy your TensorFlow model to a mobile and embedded devices, with three main objectives:

  • Reduce the model size to shorten download time and reduce RAM usage.
  • Reduce the number of computations needed for each prediction to minimize latency, battery usage, and heating.
  • Adapt the model to device-specific constraints.

Train and Deploy a TensorFlow Model to a Mobile

While you Deploy a Machine Learning Model, you need to reduce the model size, TFLite’s model converter can take a saved model and compress it to a much lighter format based on FlatBuffers. This is a dynamic, cross-platform serialization library initially created by Google without any preprocessing: this reduces the loading time and memory footprint.

Top 4 Most Popular Ai Articles:

1. Natural Language Generation:

The Commercial State of the Art in 2020

2. This Entire Article Was Written by Open AI’s GPT2

3. Learning To Classify Images Without Labels

4. Becoming a Data Scientist, Data Analyst, Financial Analyst and Research Analyst

Once the model is loaded into a mobile or embedded device, the TFLite interpreter will execute it to make predictions.

Here_ is how you can convert a saved model to a FlatBuffer and save it to a .tflite file._

How Does it work to Deploy a TensorFlow Model to Mobile

While you Deploy a TensorFlow model to a mobile, the converter optimizes the model, both to shrink it and to reduce its latency. It prunes all the operations that are not needed to make predictions ( such as training operations), and it optimizes computations whenever possible; for example, 3a + 4a +5*a will be converted to (3+4+5)*a. It also tries to fuse operations whenever possible.

For example, Batch Normalization layers end up folded into pervious layer’s addition and multiplication operations, whenever possible. To get a good idea of how much TFLite can optimize a model, download one of the pretrained TFLite models_,_ unzip the archive, then open the excellent Netron graph visualization tooland upload the.pb file to view the original model. It’s a big, elaborate graph. Next, open the optimized. Tflite model marvel at its beauty.

#tensorflow #deep-learning #python #ai #deep learning