MLOps, or Machine Learning Operations, integrates machine learning into the CI/CD pipeline, managing the ML lifecycle from data collection to deployment. It enhances collaboration, automates processes, and ensures model reliability, ultimately improving efficiency and performance.
Deep learning, a subset of machine learning, employs neural networks to analyze large data sets, enabling predictions and decisions. This guide covers deep learning foundations, demonstrates model implementation in MATLAB, and highlights best practices for optimization.
In artificial intelligence, deep learning frameworks play a crucial role in building and training neural networks. The right framework can optimize your project’s performance, simplify development, and leverage community support. This article reviews the best frameworks of 2023.