What is TensorFlow?

Implementing Machine Learning (ML) model technology today is easier than ever before. Many frameworks can be easily customized with Machine Learning (ML). One of them is TensorFlow from Google, which can help the data acquisition process. Training model Providing easier future prediction and customization services

Created by the Google Brain team and released in 2015, the framework is an open-source library for large-scale computation and machine learning. The platform combines machine learning models and neural networks. and enables general programmatic processing. The front-end API facilitates developers building applications using Python or JavaScript in the native platform and executing those applications with high-performance C++. There are also libraries for many other languages.

How does TensorFlow work?

This tool can create graphs that show the flow of data into functional structures that can explain the data through graphs. or in a set of data processing nodes Each node has a graph representing a mathematical computation and each connection or edge between nodes is a multidimensional data array or tensor.

TensorFlow can be run locally. Clusters in the cloud iOS and Android devices, CPUs, or GPUs If you're using Google's cloud, you can run TensorFlow on Google's custom TensorFlow Processing Unit (TPU) silicon.

The tool supports Python versions 3.7 through 3.11. Nodes and tensors in TensorFlow are Python and JavaScript objects. It's also a first-class language for TensorFlow, and one of the advantages of JavaScript is that it can run anywhere you have a web browser. TensorFlow.js The TensorFlow JavaScript library, as it's called, uses the WebGL API to accelerate computation using the system's built-in GPU. Trained models can also be deployed on edge computing or mobile devices such as iOS or Android.

Why is TensorFlow the developer's choice?

TensorFlow provides additional convenience for developers who need to debug and review TensorFlow apps. Each graph operation can be evaluated and edited separately and transparently. It also has the huge advantage of being supported by the leading ad sets on Google.