#TensorFlowJS

[prishusoft01]

AI in the Browser? Yes, We Did It!

At Prishusoft, we recently delivered a powerful AI-driven web application using TensorFlow.js, enabling real-time machine learning right in the browser, with no server-side dependency!

Real-time predictions

No downloads, no delays

Cross-platform performance

Fully private, your data never leaves the browser

Whether it's image recognition, predictive modeling, or interactive ML features, our team is ready to bring your ideas to life using TensorFlow.js.

If you have a project or idea involving AI, ML, or TensorFlow.js, let's talk! Visit: https://lnkd.in/gE9RhPAd

we’re ready to help you build smart, scalable web solutions.

[craigbrownphd]

Use TensorFlow to predict Bitcoin prices

https://www.infoworld.com/article/3706509/use-tensorflowjs-to-predict-bitcoin-prices.html?utm_source=dlvr.it&utm_medium=tumblr#tk.rss_machinelearning

[bigdatacourse]

Build A Machine Learning Image Classifier with TensorFlowJs ☞ https://morioh.com/p/b468f80e2d0b

#morioh #js #javascript #tensorflowjs

[pythonfan-blog]

Machine learning using TensorFlow for Absolute Beginners https://morioh.com/p/4dd4d14a2b7e

#machinelearning #tensorflow #python

[xiaoxinlu]

Garage Door Monitor using Machine Learning in JavaScript

Last week I discovered my garage door was left open all night because my kids were playing outside the day before and forgot to close it. That was a serious security issue that needs to be rectified. So I was on a mission to solve this problem and started the safer garage project.

First I wanted to install a wifi security camera. I mounted the camera facing the garage doors so if I was concerned I could always launch the app on my phone to check the door. This was a good solution but not foolproof since I can (and probably will) forget to check every day.

What I need was something to notify me when the garage door was left open.

So I looked into coding up a solution.

Fortunately, for me, my cheap Amazon camera is capable of RTSP which is a standard protocol and so I can easily pull video/images from it. Now I needed some mechanism to recognize when the door was open and when it was closed. I had an inkling I needed some employ machine learning to accomplish this so I started googling. I discovered OpenCV, and TensorFlow and stumbled on what looked like an easy-to-use web app called Teachable Machine which is built on top of TensorFlow.JS.  It's in JavaScript something I am familiar with.

Teachable Machine was great in that it's easy to use to get started. I started feeding it various screenshots of my garage door in various states (with the door open and closed and under different lighting conditions) and right away I got some very promising results.

So onward!

I downloaded the Model TM generated and tried to open it in node. Unfortunately, TM is entirely browser-based and so I was forced to do some hacking involving jsdom, and node-canvas. This was probably the ugliest part. Anyway, it's done. I started looking at pulling the images off my webcam and came upon FFmpeg which is an application that's been around forever and is pretty much the cURL of the video world. Spawn this app and get an image. Done and done! So now I have it hooked up together and it sends me a push notification when the garage door is left open.

Problem solved!

I posted the source code on GitHub and released it as a module on npm.

[jameswaititu]

The new version of Google TensorFlow has a suite of tools for optimizing your models for faster inference: tensorflow.org/model_optimization This includes post-training weight quantization, and gradual weight pruning during training for your Keras models.. * * * * * * * * * * * * * #ml #tensorflow #tensortechnology #tensorgpu #googleai #machinelearning #ai #artificialintelligence #computerscience #computervision #neuralnetworks #gpu #nvidia #nvidiagpu #tensorflowjs #tensorflowdevsummit #google https://www.instagram.com/p/B7xk8OtBKya/?igshid=gqaxu54072az

[itech]

https://lnkd.in/gM2tjzD Hi guys very excited to share this new video on my youtube channel So, please subscribe to my youtube channel in which I will discuss the latest tech topics which will more helpful for both students and working professionals, "Please Do Subscribe and Share" So, that it will really help to various people #internshalastudentpartner #internshala #internship #internshipopportunity #glassdoor #amazonjobs #angelinvesting #datascience #technologyrecruitment #jobapplications #jobsalert #deeplearning #keras #neuralnetwork #tableaupublic #datavisualizations #datavizualization #learntocode #teslamodelx #machinelearningtraining #datamining #code #mlearning #bigdataanalytics #neuralnetworks #javascript #datanalytics #programmer #businessanalytics #onlinecourse #developercommunity #programmers #artificialintelligenceai #artificialintelligence #developers #developer #freecourse #typescript #advancedanalytics #internship2020 #internshipopportunity #intern2learn #internship #internshipalert #internships #internshipopportunities #teslamotors #pytorch #python #pytorchlightning #tensorflow #tensorflowjs #tensorflowlite #deeplearning #softwaredevelopment #programming #gan #teslaroadster #selfdrivingcars #selfdrivingvehicles #selfcarethreads #teslas

[awesomecodetutorials]

Image Object Detection using TensorFlowjs ☞ http://dev.geekwall.in/5ab5fcdd09 #ai #DeepLearning

[tensorflow4u]

#TensorFlowJS v1.0 is here! Get started with some pre-trained models → https://t.co/Arz5ON3GaQ Or check out some code examples ↓ https://t.co/dvrfWrpqkX

[bigdatacourse]

Face and hand tracking in the browser with MediaPipe and TensorFlow.js https://morioh.com/p/d8eb41b1d365?f=5c21fb01c16e2556b555ab32 #TensorFlowjs #tensorflow #javascript

[pythonfan-blog]

TensorFlow.js Crash Course – Machine Learning For The Web – Getting Started https://morioh.com/p/7b7aece612e4

#machinelearning #tensorFlowjs

[vuejs2]

RT @justadudewhohax: Finally published face-api.js v0.15: 🚀 new tiny face detection model for realtime face tracking 😎 simplified and easier to use API 🎮 more examples and demos for you to play around with Have fun 😁: https://t.co/eikdGS5KTP #javascript #facerecognition #tensorflowjs #tensorflow https://t.co/5dt1QvUX1X

[meagcourses]

100% OFF | Introduction to Web AR development

This is the most complete guide to making web-based augmented reality apps. Web AR is different from other types of AR because it’s cross-platform and doesn’t need an app to be installed. The web pages are just regular web pages that are run by regular web browsers.

What will you learn

There is a MindAR open-source library that you will learn how to use in this course. You will learn how to use it to make Image AR effects and Face AR effects. MindAR is the successor to AR.js, which is the most popular free AR library in the world. You can use MindAR to make AR games and apps for free.

There’s also a WebXR API that you’ll learn about. You can use this to make world AR effects. WebXR is a native browser API that lets you make immersive AR and VR effects that look good on a browser.

You will also learn how to use tensorflow.js machine learning models to make AR apps more interesting and interactive. For example, you could use hand gestures or facial expressions to control the content in AR.

You will also start the process of learning three.js, which is the most popular way to make 3D models.

AFRAME, model-viewer, and commercial AR SDKs will also be talked about in this course.

In addition to learning how to write code, you will also learn about how AR works in a browser.

The structure of a course is

The course material has been carefully thought out. Each lecture is very modular, which makes it easy to look up any references in the future. All of the sample source code is clear and easy to understand.

Assignments

Then, you’ll have to do three practical assignments, one for each type of tracking effect you learn about in class. It’s one of the assignments for you to make and show off a real online AR portfolio for yourself, which you can show off to other people.

Development Tips

Useful development tips will be covered, including remote debugging tools and webcam mocking techniques.

Who this course is for:

People who work on the web.

People who love AR.

WebXR, MindAR, or three people who like JS

WHAT WILL YOU LEARN IN THIS COURSE:

Learn how to build different types of Web AR apps, like Image Effects, Face Effects, and World Effects.

Begin to learn about how AR works in web browsers.

Use WebXR, mind-ar-js, and threejs to make web AR apps.

Learn how to use tensorflowjs to combine AR with machine learning models and build interactive experiences.

Get to know other important web AR libraries, such as AFRAME, model-viewer, and commercial SDKs, such as how they work.

Learn how to use effective tools for debugging, simulating, and mocking to speed up development.

Then, learn about all the different types of web AR technology that are available now or in the near future, and when to use them.

Build and put up an online portfolio of your own AR work.

[ENROLL THE COURSE]

[jameswaititu]

Artwork of the future. This portrait was created by a computer. Could we call it art @richart_machomba? A bit steep, you might think, for a picture of someone you've never heard of. And you won't have heard of the artist either, as the picture was created by an algorithm drawing on a data set of 15,000 portraits painted between the 14th and 20th Centuries. * * * * * * * * * * * #iot #iot #googleAI #inteliot #datascience #machinelearning #dataanalytics #dataanalytics #bigdata #datavisualization #pythonprogramming #pythoncode #computerscience #computervision #nvidia #tensorflow #tensorflowjs #nvidiageforce (at Mambo Microsystems Ltd) https://www.instagram.com/p/BwwWDAjBT_s/?utm_source=ig_tumblr_share&igshid=1rw8xx1cu4zbb