To update TensorFlow in Anaconda, you can follow these steps:
- Open Anaconda Navigator: Launch the Anaconda Navigator application on your system.
- Activate the desired environment: Select the environment in which you have installed TensorFlow. You can choose the base/root environment if you have installed TensorFlow there.
- Open a terminal: Click on the "Home" tab in Anaconda Navigator and locate the "Open Terminal" button, usually located under the environment name.
- Update TensorFlow package: Once the terminal is open, type the following command and press "Enter":
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conda update tensorflow
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- Confirm the update: Confirm the update by typing "y" when prompted. Anaconda will download and install the latest version of TensorFlow within your selected environment.
- Verify the update: After the update process is completed, you can verify if TensorFlow has been successfully updated by importing it in a Python script and checking the version:
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import tensorflow as tf print(tf.__version__) |
This will print the current version of TensorFlow installed in your Anaconda environment.
By following these steps, you should be able to update TensorFlow in Anaconda to the latest version available.
Best TensorFlow Books to Read in 2024
Rating is 5 out of 5
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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Deep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition
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Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition
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TensorFlow Developer Certificate Guide: Efficiently tackle deep learning and ML problems to ace the Developer Certificate exam
Rating is 4 out of 5
Artificial Intelligence with Python Cookbook: Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6
What is the latest version of TensorFlow?
As of September 2021, the latest version of TensorFlow is 2.6.0.
What is Anaconda?
Anaconda is an open-source distribution of the Python and R programming languages that are specifically designed for scientific computing, data science, and machine learning. It includes a package manager, environment manager, and multiple scientific packages and libraries that are commonly used in these fields. Anaconda provides a comprehensive and easily manageable platform for developers and researchers to work on data analysis, visualization, and machine learning projects. Additionally, Anaconda supports various operating systems and multiple programming languages, making it a popular choice for data scientists and researchers.
How to update Anaconda in Linux?
To update Anaconda in Linux, you can follow these steps:
- Open your terminal.
- Activate your Anaconda environment by running the following command: conda activate
- Update the base Anaconda installation by running the following command: conda update anaconda
- If you have packages installed in environments other than the base environment, you can update them all by running: conda update --all
- Let the update process finish. It will check for any available updates for the installed packages and update them to the latest versions.
That's it! Your Anaconda installation and packages are now updated.