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- TensorFlow
An end-to-end open source machine learning platform for everyone Discover TensorFlow's flexible ecosystem of tools, libraries and community resources
- TensorFlow - Wikipedia
TensorFlow is a software library for machine learning and artificial intelligence It can be used across a range of tasks, but is used mainly for training and inference of neural networks [3][4] It is one of the most popular deep learning frameworks, alongside others such as PyTorch [5]
- Introduction to TensorFlow - GeeksforGeeks
TensorFlow is an open-source framework for machine learning (ML) and artificial intelligence (AI) that was developed by Google Brain It was designed to facilitate the development of machine learning models, particularly deep learning models by providing tools to easily build, train and deploy them across different platforms
- tensorflow·PyPI
TensorFlow is an open source software library for high performance numerical computation Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices
- TensorFlow Tutorial for Beginners: Learn Basics with Example
This TensorFlow tutorial for beginners covers TensorFlow basics to advance topics like linear regression, classifier, create, train and evaluate a neural network like CNN, RNN, auto encoders etc with TensorFlow examples
- TensorFlow | Google Open Source Projects
TensorFlow is an end-to-end open source platform for machine learning It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML, and gives developers the ability to easily build and deploy ML-powered applications
- Tensorflow in Python Tutorials
TensorFlow in Python helps build machine learning models Whether you’re a beginner or an experienced developer, TensorFlow’s comprehensive ecosystem and robust features make it an invaluable tool in your AI toolkit
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