AI frameworks are the foundation of modern artificial intelligence development, providing the tools needed to build, train, and deploy AI models efficiently. Popular AI frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn empower developers to create advanced machine learning algorithms, deep learning networks, and automation tools. Each AI framework has its strengths—TensorFlow is widely used for scalable deep learning, PyTorch excels in flexibility and research, while Keras simplifies AI model building. Choosing the right AI framework depends on factors such as computational efficiency, ease of implementation, and compatibility with cloud platforms. Learn how businesses and developers use AI frameworks to create innovative applications in finance, healthcare, cybersecurity, and autonomous systems.
Liam Clark
93 Blog posts
