9 AI coding tools every developer must know
In the rapidly evolving field of artificial intelligence (AI), developers constantly seek tools and technologies to enhance their coding efficiency and productivity. From machine learning frameworks to code generation utilities, various AI coding tools have emerged to simplify complex tasks and accelerate the development process. This article will explore nine essential AI coding tools that every developer should be familiar with.
Google created TensorFlow, a popular open-source platform for creating machine learning models. It provides a complete collection of tools and libraries that allow programmers to quickly create, train and use AI models. TensorFlow is a go-to tool for AI development because of its thorough documentation and strong community support.
PyTorch is another well-liked open-source machine learning framework with a reputation for simplicity and adaptability. PyTorch — created by Facebook’s AI Research team — offers a dynamic computational graph that facilitates model experimentation and debugging. It is a favorite among researchers and developers due to its simple interface and broad library support.
Python-based Keras is an application programming interface (API) for high-level neural networks. It simplifies the process of creating and training deep learning models by acting as a wrapper around lower-level frameworks like TensorFlow and Theano. Developers with a range of skill levels can utilize Keras because of its user-friendly interface.
Developers may create and share documents with live code, mathematics, visuals, and narrative text using the interactive coding environment Jupyter Notebook. It has grown to be a known tool for experimenting with AI algorithms and showing results since it supports a
Read more on cointelegraph.com
