Uploaded September 2020 | Updated September 2026, 2 weeks ago
Train your neural network in Javascript and make predictions directly on your browser as begineers with async and await functions which handles the input data, train model through sequential neural network and produces a prediction value in alert window as outcome.
The latest Tensorflow JS API library was used (tensorflow.js): cdn.jsdelivr.net/npm/@tensorflow/tfjs@latest
Here explain how to run a simple deep learning (neural network with one node) model from zero and get some results in user interface (browser). For this I used some random data just for demonstration.
I think this tensorflow.js example is a good start for begineers who want to dive into mobile and edge machine learning and deep learning.
Let's try this course on Coursera in Machine Learning field to learn more (TensorFlow: Data and Deployment Specialization): coursera.org/specializations/tensorflow-data-and-deployment
Happy coding!
#machinelearningjs
#trainneuralnetwork
#javascriptartificialintelligence
Train your neural network in Javascript and make predictions directly on your browser as begineers with async and await functions which handles the input data, train model through sequential neural network and produces a prediction value in alert window as outcome.
The latest Tensorflow JS API library was used (tensorflow.js): cdn.jsdelivr.net/npm/@tensorflow/tfjs@latest
Here explain how to run a simple deep learning (neural network with one node) model from zero and get some results in user interface (browser). For this I used some random data just for demonstration.
I think this tensorflow.js example is a good start for begineers who want to dive into mobile and edge machine learning and deep learning.
Let's try this course on Coursera in Machine Learning field to learn more (TensorFlow: Data and Deployment Specialization): coursera.org/specializations/tensorflow-data-and-deployment
Happy coding!
#machinelearningjs
#trainneuralnetwork
#javascriptartificialintelligence
