Tools - TensorFlow
Explore tools to support and accelerate TensorFlow workflows. Colaboratory is a free Jupyter notebook environment that requires no setup and runs entirely in the cloud, allowing you to execute TensorFlow code in your browser with a single click.
TensorFlow工具 | TensorFlow中文官网
一套可视化工具，用于理解、调试和优化 TensorFlow 程序。 一种以无代码的方式探究机器学习模型的工具，对模型的理解、调试和公平性很有用。 可在 TensorBoard 和 Jupyter 或 Colab 笔记本中使用。 全面的机器学习基准测试套件，用于衡量机器学习软件框架、机器学习硬件加速器和机器学习云端平台的性能。 XLA（加速线性代数）是一种针对特定领域的线性代数编译器，能够优化 TensorFlow 计算，它可以提高服务器和移动平台的运行速度，并改进内存使用情况和可移植性 …
TensorFlow
TensorFlow makes it easy to create ML models that can run in any environment. Learn how to use the intuitive APIs through interactive code samples. Explore examples of how TensorFlow is used to advance research and build AI-powered applications.
Deep Learning Toolbox Converter for TensorFlow Models
2024年9月11日 · The converter for TensorFlow models enables you to import a pretrained TensorFlow model and weights and export a MATLAB network or layergraph as a TensorFlow model.
Deep Learning Toolbox - MATLAB - MathWorks
The toolbox lets you interoperate with other deep learning frameworks. You can import PyTorch®, TensorFlow™, and ONNX™ models for inference, transfer learning, simulation, and deployment. You can also export models to TensorFlow and ONNX. You can automatically generate C/C++, CUDA®, and HDL code for trained networks.
TensorFlow with MATLAB — The TensorFlow Blog
2023年3月14日 · In this blog post I will show you how to use TensorFlow™ with MATLAB® for deep learning applications. More specifically, I will show you how to convert pretrained TensorFlow models to MATLAB models, convert models from MATLAB to TensorFlow, and use MATLAB and TensorFlow together.
TensorFlow basics | TensorFlow Core - TensorFlow中文官网
While you can use TensorFlow interactively like any Python library, TensorFlow also provides tools for: Performance optimization: to speed up training and inference. Export: so you can save your model when it's done training. These require that you use tf.function to separate your pure-TensorFlow code from Python.
Tensorflow - A Neural Network Playground
We wrote a tiny neural network library that meets the demands of this educational visualization. For real-world applications, consider the TensorFlow library. This was created by Daniel Smilkov and Shan Carter.
GitHub - tensorflow/tensorflow: An Open Source Machine …
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 developers easily build and deploy ML-powered applications.
TensorBoard | TensorFlow
A suite of visualization tools to understand, debug, and optimize TensorFlow programs for ML experimentation.
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