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tensorflow · PyPI
https://pypi.org/project/tensorflow/
WEBMar 8, 2024 · Latest version. Released: Mar 8, 2024. TensorFlow is an open source machine learning framework for everyone. Project description. TensorFlow is an open source software library for high performance numerical computation.
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Install TensorFlow with pip
https://www.tensorflow.org/install/pip
WEBApr 13, 2024 · Install TensorFlow with pip. This guide is for the latest stable version of TensorFlow. For the preview build (nightly), use the pip package named tf-nightly. Refer to these tables for older TensorFlow version requirements. For the CPU-only build, use the pip package named tensorflow-cpu.
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Install TensorFlow 2
https://www.tensorflow.org/install
WEBMar 24, 2023 · Install TensorFlow with Python's pip package manager. TensorFlow 2 packages require a pip version >19.0 (or >20.3 for macOS). Official packages available for Ubuntu, Windows, and macOS.
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API Documentation | TensorFlow v2.16.1
https://www.tensorflow.org/api_docs
WEBMay 26, 2023 · TensorFlow has APIs available in several languages both for constructing and executing a TensorFlow graph. The Python API is at present the most complete and the easiest to use, but other language APIs may be easier to integrate into projects and may offer some performance advantages in graph execution.
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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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GitHub - tensorflow/tensorflow: An Open Source Machine …
https://github.com/tensorflow/tensorflow
WEBTensorFlow provides stable Python and C++ APIs, as well as a non-guaranteed backward compatible API for other languages. Keep up-to-date with release announcements and security updates by subscribing to [email protected] . …
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Module: tf | TensorFlow v2.16.1
https://www.tensorflow.org/api_docs/python/tf
WEBLearn how to use TensorFlow with end-to-end examples Guide Learn framework concepts and components Learn ML Educational resources to master your path with TensorFlow API TensorFlow (v2.16.1) Versions… TensorFlow.js ...
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Introduction to the Python Deep Learning Library TensorFlow
https://machinelearningmastery.com/introduction-python-deep-learning-library-tensorflow/
WEBJul 27, 2022 · TensorFlow is a Python library for fast numerical computing created and released by Google. It is a foundation library that can be used to create Deep Learning models directly or by using wrapper libraries that simplify the process built on top of TensorFlow. In this post, you will discover the TensorFlow library for Deep Learning.
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Releases · tensorflow/tensorflow · GitHub
https://github.com/tensorflow/tensorflow/releases
WEBThe official Wheels-published on PyPI will be based on Clang; however, users retain the option to build wheels using the MSVC compiler following the steps mentioned in https://www.tensorflow.org/install/source_windows as has been the case before. TensorFlow 2.16 will be released as TF 2.16.1 (instead of 2.16.0).
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NumPy API on TensorFlow | TensorFlow Core
https://www.tensorflow.org/guide/tf_numpy
WEBAug 19, 2023 · Overview. TensorFlow implements a subset of the NumPy API, available as tf.experimental.numpy. This allows running NumPy code, accelerated by TensorFlow, while also allowing access to all of TensorFlow's APIs. Setup. import matplotlib.pyplot as plt. import numpy as np. import tensorflow as tf.
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