TensorFlow
Minimal research on AI frameworks is almost assured to lead you to TensorFlow. It is an open source platform which was developed by the team of Google Brain for internal Google use in production and research. The primary version was released in 2015 under the Apache License 2.0. It can be used within an array of programming languages, particularly Python, JavaScript, C++, and Java as well.
Key Features:
- Google released an updated version – Tensor 2.15.0, in November, 2023.
- Computational Power: Can be used on any CPU or GPU and therefore has high computational power.
- Usage of Graph Abstraction: Uses graph abstraction for creating machine models. TensorFlow permits the building of neural networks with graphs that depict operations as nodes.
To get more information about TensorFlow click here.
Top 10 Artificial Intelligence Frameworks to Learn in 2024
Artificial Intelligence (AI) plays a crucial role in today’s digital world, and it’s expected to reach a market value of $190.61 billion by 2025. People from all walks of life, including digital enthusiasts and the average person, are contributing to this transformation.
Easy-to-use tools like Python, AI models, and the best AI frameworks make it accessible for more people to join in, creating a collaborative effort to shape the global digital landscape. As per the survey, the global AI market is expected to reach $190.61 billion by the year 2025.
Top artificial intelligence frameworks speed up the creation of AI applications, covering various areas like deep learning, machine learning, NLP solutions, and neural networks. As AI becomes more common, dealing with large sets of data, known as “big data,” becomes a challenge for organizations. This is why many technologies today require a reliable artificial intelligence framework to effectively handle and make sense of such data.