1 year ago

In the rapidly evolving era of machine learning (ML) and artificial intelligence (AI), TensorFlow has emerged as a leading framework for developing and implementing sophisticated models. TensorFlow.js is a JavaScript machine learning toolkit that facilitates the creation of ML models and their immediate use in browsers or Node.js apps.

In this article, we will explore the concept of pretrained models in TensorFlow.js and Docker and delve into the potential applications and benefits. Pretrained models are a powerful tool for developers because they allow you to use ML models without having to train them yourself.

A pretrained model is an ML model that has been professionally trained on a large volume of data.