Tensorflowjs

Working on machine learning and deep learning projects are becoming increasingly accessible for JavaScript developers. With the help of popular libraries, such as TensorFlow.js, Brain.js and deeplearn.js, developers can now create and train powerful deep learning models from their web and Node.js applications. Here are 6 applied deep learning projects…

Introduction In this tutorial we learn about: What is TensorFlow.js? Simple Tutorial for a Linear Regression Model What is TensorFlow.js? TensorFlow.js is a JavaScript library for training and deploying machine learning models in Node.js and the browser. …

This article will show you how to create a Deep Learning web app using MERN Stack without storing your AI model on the cloud. — Outline 📌 Overview 📌 Training an Image Classifier Model Using TensorFlow 📌Converting the model to Tensorflow.JS 📌Website 📌Conclusion Overview As an AI developer, I wanted to create models and use them in the real world by deploying them on websites to see how they performed and to get user feedback. However, due to large model files, doing so would increase both the computational cost and the amount of time…

So you can build a fancy neural network and use it to make some clever predictions, but ever wanted to share it with others without drowning them in mind-boggling lumps of code? Then why not build a website to show it off! This is exactly what I did for a…

Live app here, just try to insult it! “The Conversation AI team, a research initiative founded by Jigsaw and Google (both a part of Alphabet) are working on tools to help improve online conversation. One area of focus is the study of negative online behaviors, like toxic comments (i.e. comments…

TensorFlow is an open-source library and API designed for deep learning, written and maintained by Google. Interface TensorFlow provides a python API for building and executing data flow graphs. There is also a c++ API for executing graphs, and adding new operation kernels. …

with Tensorflowjs and React we can create a simple react application and run our ML model on it GOAL Integrate Tensorflowjs api with React Create a prediction model, train it and predict linear data React is a front-end library which enables us in creating modular yet easy to maintain component based…

Introducing FlowSpace We are excited to announce the launch of FlowSpace, a machine learning model performance visualizer for TensorFlow.js developers. FlowSpace is an npm package, with React, Socket.IO, D3.js, Express, and Node.js, at its core. FlowSpace is developed using agile methodology in collaboration with the tech accelerator, OS Labs. What is Machine Learning? Machine Learning is…

Nowadays, we use more and more ML/AI in our apps. Every product or project these days has a part where we can leverage ML capabilities! I have implemented Tensorflow models in our Native Android and Flutter apps. Exploring tensorflow.js was also important to understand how many apps like lenskart, amazon…