The Best AI & Machine Learning Frameworks to Learn for Web Development
Updated: Dec 1, 2022
The Importance of Artificial Intelligence and Machine Learning in Web Development
Artificial Intelligence (AI) and Machine Learning (ML) are two widely used technologies that allow web applications to learn and analyse a user's preferences and behaviours.
Artificial intelligence (AI) websites are all the rage these days. One explanation is that AI uses genetic algorithms and neural networks to build artificial intelligence into web apps from the ground up. This is now simple to implement in most firms.
The bottom line, though, is how well business leaders integrate AI into their web development processes.
In order to help you in 2020 and beyond, here are five cutting-edge AI and machine learning frameworks for web development to keep an eye on.
TensorFlow
The Google Brain Team was in charge of the development.
Founded In 2015
C++, Python, and CUDA were used to create this project.
Linux, macOS, Microsoft Windows, Android, and JavaScript are all supported platforms.
The most recent version is 2.1.0, which was released on January 8, 2020.
TensorFlow has been a popular machine learning framework among web developers since its initial release in 2015. This is because the framework's creators, the Google Brain Team, constructed it in such a way that it allows developers to apply machine learning in both JavaScript and Node for numerical calculation at the same time.
It also aids teams in the development of web apps by combining machine learning models with JavaScript and its modules, which recognise several essential functionalities of real-world interactions and objects.
It introduces AI and machine learning technologies to the front-end, allowing users to experience the actual world in real time through a web browser.
Apache Mahout
Apache Software Foundation developed it.
Founded In 2008
Java and Scala were used to create this project.
Apache Hadoop, Apache Spark, Apache Flink, and Scala+ are some of the platforms available.
The most recent version is 0.14.0, which was released on March 6, 2019.
Apache Mahout is maintained by the Apache Software Foundation and a group of developers. It's an open-source machine learning platform that lets web app developers create massive online apps. These programmes are intended to aid data scientists and statisticians in the execution of various mathematical procedures.
This framework is recommended by professional web developers in 2020 because it enhances web application performance by combining distributed linear algebra frameworks with mathematically expressive R-Like Scala DSL for distributed algorithms. Scalability, simplicity, and speed are also advantages.
Microsoft Cognitive Toolkit
Microsoft Research developed it.
Founded In 2016
C++ and Python were used to create this project.
The most recent version is 2.7.0, which was released on 26 April, 2019.
Windows and Linux are some of the platforms available.
Another open-source deep learning framework is Microsoft Cognitive Toolkit. It may be integrated into web applications using high-level and low-level APIs for creating neural networks. It's an excellent deep learning framework for creating dynamic web apps. You may avoid laborious code thanks to its functionality, scalability, and speed. Image recognition, voice recognition, and handwriting recognition are all possible with CNTK-based web apps.
Convolutional neural networks (CNNs) and recurrent neural networks (RNNs/LSTMs) are also supported. CNTK is a modular library that may be used in Python, C#, or C++ programmes, as well as a machine-learning tool thanks to its own model description language (BrainScript).
It also includes 64-bit Linux and 64-bit Windows operating systems, which you may download from the GitHub repository or pre-compiled binary packages.
Its support for the ONNX standard (Open Neural Network Exchange) has a big impact on how AI and machine learning are used in web development.
Caffe2
Berkeley Vision and Learning Centre developed it.
Founded In 2017
C++ and Python were used to create this project.
The most recent version is 1.0, which was released on 18 April, 2017.
Linux, macOS and Windows are some of the platforms available.
For those who believe that big things come in tiny packages, our deep learning framework is ideal. Yes, Caffe2 is the way to go if you're searching for a flexible deep learning framework. It is popular among developers since it is flexible and simple to use.
It improves the performance of your application with the aid of extendable code. The best thing is that developers only require a basic understanding of C++ source code.
It includes Python and MATLAB bindings. And, because it supports cutting-edge code and models, your app code will be simple.
One of its most significant advantages is its speed: with a single Nvidia K40 GPU, it can process over 60 million photos each day.
Apache Singa
Apache Software Foundation developed it.
Founded In 2015
C++, Python and Java were used to create this project.
The most recent version is 3.0.0, which was released on April 20, 2020 .
Linux, macOS and Windows are some of the platforms available.
Apache Singa, last but not least, is a widely used deep learning framework for web development. It is extremely adaptable, and developers may use it to create web applications for a wide range of industries. It has a number of benefits, not only for app developers but also for app owners.
Apache Singa provides a flexible architecture for distributed training as well as three primary components: the Core component for memory management, the IO component for data analysis, and the Model component for natural language processing and picture identification.
Final Thoughts- AI in web development
You may have previously heard about all of these web development, AI and machine learning frameworks. Of course, there are more frameworks available. However, these five frameworks, in my opinion, will be the victors this year.
You may utilise these frameworks to create amazing web apps and reach out to users all around the world with your web apps. This will help you grow your consumer base, which will contribute to your company's success.