This is a and fully integrated minimal runtime environment featuring TensorFlow, an open-source machine learning library, Keras, an open-source neural network library, Jupyter Notebook, a browser-based interactive notebook for programming, mathematics, and data science, and the Python programming language.
The stack is tailored for optimal performance on CPU-based systems, making it well-suited for various machine learning tasks that do not require GPU acceleration. It is designed to provide a stable and tested execution environment for training, inference, or running machine learning models and services.
Additionally, this software stack includes a Development preset, equipped with program development and building tools, including a C compiler and make. These tools empower users to customize and extend the stack according to their specific requirements, enabling flexibility in development and deployment workflows.
In summary, this environment offers TensorFlow, Keras, Jupyter Notebook, and Python in an integrated package optimized for CPU-based machine learning tasks. It also includes development tools for further customization, making it a versatile choice for machine learning and data science projects.