AI Infrastructure: AI Frameworks
Learn about the most popular AI frameworks used by developers and data scientists, including Scikit-learn for machine learning and TensorFlow, PyTorch, and Keras for deep learning. Understand their core features, differences, and typical use cases to guide AI product development effectively.
We'll cover the following...
Top AI frameworks
Say you have a team working on creating an AI product. When it comes to the development of the AI application (data processing, model training, etc.), what are the libraries/frameworks they would be working with? As a leader, it is essential to have a high-level knowledge overview of the tools used by developers and data scientists.
In this lesson, we cover the current top AI frameworks and libraries used by developers. Namely, we are going to look at:
- Scikit-learn (machine learning)
- TensorFlow (deep learning)
- PyTorch (deep learning)
- Keras (deep learning)
Scikit-learn
Scikit-learn is a very easy to use Python library for machine learning that is loved by data scientists. It comes with a variety of efficient tools for machine learning and statistical modeling. It provides classification ...