The Go language, also known as Go, is a modern programming language developed by Google in 2009. In recent years, the language has gained popularity in application development environments, including the area of Machine Learning. Some of the main reasons why Go is suitable for Machine Learning are its simplicity, performance, and security.
Machine Learning Libraries in Go
There are several popular libraries for Machine Learning in Go that bridge the gap between the language and the AI area. Some of the main libraries include:
TensorFlow
The TensorFlow library is one of the most popular and powerful for Machine Learning in Golang. It is an implementation of the TensorFlow framework in Go and allows developers to create applications that can be executed on edge, using a neural network model format.
Light Gradient Boosting Machine
The LightGBM library is a popular option for linear regression and random forests in Golang. It's known for its performance and ability to handle large amounts of data.
Coral
The Gorgonia library is an implementation of the TensorFlow framework in Go, and it stands out for its ability to handle artificial neural networks and automated learning models. It's a popular option among machine learning developers in Golang.
What is the difference between the TensorFlow and GorGoNia libraries?
The TensorFlow library is an implementation of the TensorFlow framework in Go, while the Gorgonia library is an implementation of the TensorFlow framework in Golang with some additional files to handle artificial neural networks and automated learning models. Although both libraries are compatible with the TensorFlow framework, Gorgonia is a more comprehensive choice for applications that require more Machine Learning functionality.
Beyond those libraries, there are other options for Machine Learning in Golang, such as the Keras library, which is an implementation of the Keras framework in Go, and the Seldon library, which is a machine learning modeling automation library in Golang.
Machine Learning Apps in GoLang
There are several apps that use the Golang language for Machine Learning, including:
Cognitive
The Cognise is an automated learning app in the browser that uses the Golang language to train machine learning models. It is known for its ability to handle large amounts of data and create customized models.
Go Neural Network
The GoNNG is an artificial neural network application in Golang that uses the TensorFlow library to train machine learning models. It is known for its performance and ability to handle large quantities of data.
The advantage of using Go for Machine Learning is
One of the main advantages of using Go for Machine Learning is its performance. The Go language is optimized for performance and can handle large quantities of data with ease. Additionally, the Go language is known for its security and simplicity, making it a popular choice among application developers.
In summary, the Go language is a popular choice for Machine Learning due to its performance, security, and simplicity. There are several libraries and applications for Machine Learning in Go, making the language a complete option for developers who want to create artificial intelligence applications.
