{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/14"},{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/8"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/6"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/17"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/8"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics/3"}],"enrichment":{"capability":"TensorFlow CPU for AWS is a machine learning framework optimized for numerical computation on CPU-based AWS infrastructure, supporting deployment across diverse platforms and devices.","skillfed_tags":["machine-learning","deep-learning","aws-optimized"],"use_cases":["Build and train deep neural networks for image classification, NLP, or time-series prediction tasks.","Deploy machine learning models on AWS CPU instances for inference at scale.","Perform numerical simulations and scientific computing requiring automatic differentiation.","Prototype machine learning experiments using Keras high-level APIs before production deployment.","Integrate TensorFlow workflows into data pipelines using TensorFlow Estimator for structured model training."],"what_it_does":"TensorFlow CPU for AWS is a machine learning and numerical computation library designed for high-performance operations on CPU-based systems, particularly within AWS environments. It provides a flexible architecture for building and training neural networks, supporting deployment from development machines to production clusters and edge devices. The package includes Keras for high-level model building, TensorBoard for visualization, and TensorFlow Estimator for structured workflows.\n\nThe framework pulls in a substantial dependency chain (22 runtime packages) covering numerical operations (numpy, h5py), protocol buffers for serialization, and specialized ML components. It targets researchers, engineers, and developers working on machine learning projects and is classified as production-stable. The active maintenance status and large community (197024 GitHub stars) indicate ongoing support, though the 883-day gap since the latest release warrants checking whether newer versions are available.","worth_installing":"Yes, with conditions. TensorFlow CPU for AWS is production-stable and actively maintained, suitable for machine learning projects on AWS CPU infrastructure. However, verify that this AWS-specific variant offers advantages over the standard TensorFlow CPU distribution, and check whether version 2.15.1 (released 2024-03-14) meets your recency requirements. The medium install friction and large dependency footprint are expected trade-offs for a comprehensive ML framework."},"id":"tensorflow-cpu-aws","links":{"html":"https://skillfed.io/packages/tensorflow-cpu-aws","md":"https://skillfed.io/packages/tensorflow-cpu-aws.md","pypi":"https://pypi.org/project/tensorflow-cpu-aws/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2024-03-14","license_spdx":null,"license_treatment":"permissive","name":"tensorflow-cpu-aws","python_support":"supports_current","summary":"TensorFlow is an open source machine learning framework for everyone."},"popularity":{"monthly_downloads":158957,"position":10710,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.15.1"}