In this blog post, we have shown you how to install TensorFlow in Jupyter Notebook using Anaconda. Tired of the complexities of installing TensorFlow in Jupyter Notebook? Try Saturn Cloud for free and to set up your data science environment effortlessly! Conclusion You should see the result, 5, printed to the console.Ĭongratulations, you have successfully installed TensorFlow in Jupyter Notebook! To run the program, click on the Run button in the toolbar or press Shift+Enter. The result is then printed to the console. This program creates two constants, a and b, and adds them together using TensorFlow’s add function. ![]() In your new notebook, type the following code: To test if TensorFlow is working correctly, we can create a simple program that adds two numbers using TensorFlow. At the end, you can run the following command: !pip install tensorflow If your machine support GPU, make sure to Install the NVIDIA GPU driver if you have not and verify it by nvidia-smi. This will download and install the latest version of TensorFlow in your environment. We recommend using conda as it will automatically install all the necessary dependencies.Ĭreate a new cell in your Jupyter notebook and run the command below: !pip install tensorflow There are two ways to install TensorFlow: using pip or using conda. ![]() With our new environment created, we can now install TensorFlow. To create a new notebook, click on the New button in the top right corner and select Python 3 under Notebooks. You should see a list of files and folders in your home directory. This will open Jupyter Notebook in your default web browser.
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