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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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Introduction to TensorFlow
https://www.tensorflow.org/learn
WEBGet started with TensorFlow. Explore tutorials. TensorFlow makes it easy for beginners and experts to create machine learning models for desktop, mobile, web, and cloud.
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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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TensorFlow 2 quickstart for beginners | TensorFlow Core
https://www.tensorflow.org/tutorials/quickstart/beginner
WEBNov 16, 2023 · Python programs are run directly in the browser—a great way to learn and use TensorFlow. To follow this tutorial, run the notebook in Google Colab by clicking the button at the top of this page. In Colab, connect to a Python runtime: At the top-right of the menu bar, select CONNECT.
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Install TensorFlow 2
https://www.tensorflow.org/install
WEBMar 24, 2023 · Download a package. 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. Read the pip install guide. Run a TensorFlow container. The TensorFlow Docker images are already configured …
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Tutorials | TensorFlow Core
https://www.tensorflow.org/tutorials
WEBSep 19, 2023 · Beginner quickstart. This "Hello, World!" notebook shows the Keras Sequential API and model.fit . Keras basics. This notebook collection demonstrates basic machine learning tasks using Keras. Load data. These tutorials use tf.data to load various data formats and build input pipelines. For experts.
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Install TensorFlow with pip
https://www.tensorflow.org/install/pip
WEB5 days ago · python -c "import tensorflow as tf; print(tf.reduce_sum(tf.random.normal([1000, 1000])))" If a tensor is returned, you've installed TensorFlow successfully. Verify the GPU setup: python -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))" If a list of GPU devices is returned, you've …
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Introduction to Tensors | TensorFlow Core
https://www.tensorflow.org/guide/tensor
WEBOct 28, 2023 · Basics. First, create some basic tensors. Here is a "scalar" or "rank-0" tensor . A scalar contains a single value, and no "axes". # This will be an int32 tensor by default; see "dtypes" below. rank_0_tensor = tf.constant(4) print(rank_0_tensor) tf.Tensor(4, shape=(), dtype=int32) A "vector" or "rank-1" tensor is like a list of values.
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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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TensorFlow 2 Tutorial: Get Started in Deep Learning with tf.keras
https://machinelearningmastery.com/tensorflow-tutorial-deep-learning-with-tf-keras/
WEBAug 2, 2022 · The best way to learn deep learning in Python is by doing. Dive in. You can circle back for more theory later. Each code example was designed to use best practices and to be standalone so that you can copy and paste it directly into your project and adapt it to your specific needs.
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