{"id":20,"date":"2020-12-10T18:43:28","date_gmt":"2020-12-10T13:13:28","guid":{"rendered":"https:\/\/data-flair.training\/news\/?p=20"},"modified":"2020-12-10T19:45:57","modified_gmt":"2020-12-10T14:15:57","slug":"artificial-intelligence-tools-frameworks","status":"publish","type":"post","link":"https:\/\/data-flair.training\/news\/artificial-intelligence-tools-frameworks\/","title":{"rendered":"Top 12 Artificial Intelligence Tools and Frameworks for 2021"},"content":{"rendered":"

Are you ready to Welcome 2021<\/strong> with Artificial Intelligence trending everywhere? Here\u2019s presenting a compilation of top AI tools and frameworks for 2021.<\/span><\/p>\n

According to a study\u00a0done by Grand View Research, \u201cArtificial Intelligence Market Size Worth $390.9 Billion By 2025.\u201d<\/strong><\/p><\/blockquote>\n

Artificial Intelligence has made its way in every industry and has simplified our lives to a greater extent. <\/span><\/p>\n

Besides these applications, it has also given rise to a number of tools frameworks. <\/span><\/p>\n

The task of developers has been made easier with the help of these tools and frameworks in the same way as AI has made our personal and professional lives.<\/span><\/p>\n

So let’s see what will rule in 2021.<\/p>\n

Top 12 Artificial Intelligence Tools and Frameworks that will dominate in 2021<\/h2>\n

1. TensorFlow<\/h3>\n

Developed by Google Brain, TensorFlow is an open-source library perfect for handling huge volumes of complicated numerical computations. <\/span><\/p>\n

Many giant companies like Google, SAP, Intel and Nvidia use TensorFlow. <\/span><\/p>\n

It is multi-layered hubs that allow developers to set up, train and send counterfeit neural systems with massive datasets.<\/span><\/p>\n

2. Keras<\/h3>\n

Keras is one of the most popular Python-based library frameworks that is considered as a best tool for handling problems like network configuration, image recognition and choosing the best architecture for specific situations. <\/span><\/p>\n

It can run on the top of other frameworks such as TensorFlow or Theano. <\/span><\/p>\n

It has a distinct feature that enables it to convert into other frameworks.<\/span><\/p>\n

3. Scikit- Learn<\/h3>\n

SciKit-Learn is built upon Python\u2019s two widely used libraries- NumPy and SciPy. It is open-source and developed in the year 2007.\u00a0 <\/span><\/p>\n

For standard AI and data mining functions, it includes various administered and unsupervised learning calculations such as bunching, choice trees, relapse, order, etc. <\/span><\/p>\n

For dealing with data analysis, data mining and AI computation, Scikit-learn is considered as an excellent option.<\/span><\/p>\n

4. Mxnet<\/h3>\n

Mxnet is built with scalability and has various other cool features such as writing custom layers in high-level languages with ease. <\/span><\/p>\n

It is an open-source, community-developed framework and not directly governed by a single corporation. <\/span><\/p>\n

It has TVM support which further improves deployment support.\u00a0<\/span><\/p>\n

5. Theano<\/h3>\n

Theano is a library of Python which is best suitable for working with complex mathematical expressions. <\/span><\/p>\n

It enables us to define and evaluate math expressions consisting of multi-dimensional arrays. <\/span><\/p>\n

Theano is just folded over keras that runs parallely with the Theano library.\u00a0<\/span><\/p>\n

6. Caffe<\/h3>\n

It is created by Berkeley Vision and Learning Center(BVLC) and community donors. <\/span><\/p>\n

It is a versatile ML framework and thus considered as the most preferred choice for computer-vision tasks. <\/span><\/p>\n

It has the most sophisticated and expressive architecture that encourages innovation and speed.<\/span><\/p>\n

7. <\/b>PyTorch<\/h3>\n

PyTorch is designed to speed up the process from research prototyping to production deployment. <\/span><\/p>\n

It is an open-source ML framework created by Facebook. <\/span><\/p>\n

PyTorch has various features such as distributed training, TorchScript, python-First.<\/span><\/p>\n

8. Auto ML<\/h3>\n

Auto ML is one of the most powerful and latest additions to the collection of tools for the use by Machine learning engineers. <\/span><\/p>\n

It is specially for the purpose of optimizing machine learning models. <\/span><\/p>\n

It saves a lot of time and is extremely beneficial for the one having less experience in the field of machine learning.\u00a0<\/span><\/p>\n

9. OpenNN<\/h3>\n

OpenNN (Open Neural Networks Library) is written in C++ and is designed for Deep Learning and advanced ML research. <\/span><\/p>\n

It is an open-source library that comes with extensive documentation and unit testing features. <\/span><\/p>\n

OpenNN provides high processing speed and optimal memory management.<\/span><\/p>\n

10. Microsoft Cognitive Toolkit (CNTK)<\/h3>\n

Microsoft Toolkit is a toolkit for Deep Learning that allows developers to combine different model types such as convolutional nets (CNN), Deep forward DNNs, and recurrent networks( RNNs\/LSTMs). <\/span><\/p>\n

It is an open-source toolkit which can be either used as a standalone ML tool through BrainScript or as a library in Python\/C++\/C# programs.<\/span><\/p>\n

11. Google ML Kit<\/h3>\n

Google ML Kit allows developers to build mobile apps for both android and iOS platforms. <\/span><\/p>\n

It is actually Google\u2019s ML SDK that is particularly designed for mobile app development and is used to build highly customized features. <\/span><\/p>\n

The kit has NLP APIs, video and image analysis APIs, and the cutting-edge AutoML vision edge feature.<\/span><\/b><\/p>\n

12. H2O: Open Source AI Platform<\/h3>\n

H2O is an open-source ML software tool written in Python, R and Java programming languages. <\/span><\/p>\n

It is designed by H2O.ai and mostly used for predictive data analytics by Ai developers and researchers. <\/span><\/p>\n

H2O enables data-driven decision making and is also used to analyze cloud datasets in Apache Hadoop file systems.\u00a0<\/span><\/p>\n

Conclusion<\/h2>\n

These are the most important Artificial Intelligence tools and frameworks that will be in most demand in 2021.<\/span><\/p>\n

Experts using these tools and frameworks in a better way will definitely bring a radical transformation in various industries.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Are you ready to Welcome 2021 with Artificial Intelligence trending everywhere? Here\u2019s presenting a compilation of top AI tools and frameworks for 2021. According to a study\u00a0done by Grand View Research, \u201cArtificial Intelligence Market...<\/p>\n","protected":false},"author":6722,"featured_media":53,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[104],"tags":[105,106,107],"class_list":["post-20","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-ai-frameworks","tag-ai-tools","tag-artificial-intelligence-tools-and-frameworks"],"yoast_head":"\nTop 12 Artificial Intelligence Tools and Frameworks for 2021 - DataFlair<\/title>\n<meta name=\"description\" content=\"Check out the most demanding tools and frameworks of Artificial Intelligence that will be in trend in 2021 and that you cannot miss to learn.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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