AI frameworks are comprehensive software platforms designed to simplify the development and deployment of artificial intelligence applications. These AI frameworks provide pre-built tools, libraries, and modules to support tasks such as data preprocessing, model training, and optimization. Popular AI frameworks like TensorFlow, PyTorch, and Keras enable developers to create machine learning models efficiently, from simple neural networks to advanced deep learning architectures. They often include features for scalability, multi-GPU support, and integration with other programming languages, making them indispensable for researchers and businesses aiming to harness AI capabilities in areas such as computer vision, natural language processing, and robotics.
Liam Clark
70 Blog posts
