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GitHub - tensorflow/tensorflow: An Open Source Machine …
https://github.com/tensorflow/tensorflow
WEBTensorFlow 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.
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tensorflow · GitHub
https://github.com/tensorflow
WEBtensorflow Public. An Open Source Machine Learning Framework for Everyone. C++ 182,404 Apache-2.0 73,857 1,910 (1 issue needs help) 423 Updated 3 minutes ago. datasets Public. TFDS is a collection of datasets ready to use with TensorFlow, Jax, ... Python 4,168 Apache-2.0 1,507 406 260 Updated 7 minutes ago. tfx Public.
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Releases · tensorflow/tensorflow · GitHub
https://github.com/tensorflow/tensorflow/releases
WEBtensorflow-jenkins. v2.16.1. 5bc9d26. Compare. TensorFlow 2.16.1 Latest. Release 2.16.1. TensorFlow Windows Build: Clang is now the default compiler to build TensorFlow CPU wheels on the Windows Platform starting with this release. The currently supported version is LLVM/clang 17.
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AttributeError: module 'tensorflow' has no attribute ... - GitHub
https://github.com/tensorflow/tensorflow/issues/60333
WEBApr 14, 2023 · If TensorFlow is installed, you should see it listed in the output. If it is not installed, you can install it using the following command: Copy code pip install tensorflow Check the version of TensorFlow that you are using. You can do this by running the following command: scss Copy code python -c "import tensorflow as tf; print(tf.version)"
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TensorFlow
https://www.tensorflow.org/
WEBLearn how to use the intuitive APIs through interactive code samples. View tutorials. import tensorflow as tf. mnist = tf.keras.datasets.mnist. (x_train, y_train),(x_test, y_test) = mnist.load_data() x_train, x_test = x_train / 255.0, x_test / 255.0. model = tf.keras.models.Sequential([.
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TensorFlow Hub
https://www.tensorflow.org/hub
WEBTensorFlow Hub is a repository of trained machine learning models ready for fine-tuning and deployable anywhere. Reuse trained models like BERT and Faster R-CNN with just a few lines of code. See the guide. Learn about how to …
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GitHub - tensorflow/hub: A library for transfer learning by reusing
https://github.com/tensorflow/hub
WEBThis GitHub repository hosts the tensorflow_hub Python library to download and reuse SavedModels in your TensorFlow program with a minimum amount of code, as well as other associated code and documentation.
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Tutorials | TensorFlow Core
https://www.tensorflow.org/tutorials
WEBSep 19, 2023 · Explore libraries to build advanced models or methods using TensorFlow, and access domain-specific application packages that extend TensorFlow. This is a sample of the tutorials available for these projects.
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Introducing TensorFlow Similarity — The TensorFlow Blog
https://blog.tensorflow.org/2021/09/introducing-tensorflow-similarity.html
WEBSep 13, 2021 · TensorFlow Similarity provides all the necessary components to make similarity training evaluation and querying intuitive and easy. In particular, as illustrated below, TensorFlow Similarity introduces the SimilarityModel (), a new Keras model that natively supports embedding indexing and querying.
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TensorFlow 2 quickstart for beginners | TensorFlow Core
https://www.tensorflow.org/tutorials/quickstart/beginner
WEBNov 16, 2023 · Learn. TensorFlow Core. TensorFlow 2 quickstart for beginners. On this page. Set up TensorFlow. Load a dataset. Build a machine learning model. Train and evaluate your model. Conclusion. Run in Google Colab. View source on GitHub. Download notebook. This short introduction uses Keras to: Load a prebuilt dataset.
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