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We do not recommend adding Anaconda to the PATH manually. Should I add Anaconda to the macOS or Linux PATH? Quoting Anaconda's doc, this should be done instead after install, using conda init: bash_profile, that I added manually : export PATH="$HOME/anaconda3/bin:$PATH"ĮDIT: As mentioned in a comment, this is not the proper way to add anaconda to the path. Make sure the path to your anaconda interpreter is added to your path (somewhere in your bashrc/bash_profile most likely).įor example I used to have the following line in my. You can select the interpreter you want when you create a new notebook. In this case, we have TensorFlow 1.1.0 installed for Python 3.5.Will give you the interpreter. Tensorflow-tensorboard 0.1.5 p圓5_0 anacondaĪs you can see, the output includes the name of the package, the version number, and the Python version that it is compatible with.

The output should look something like this: This will print out a list of all of the Python packages that are installed in your environment, including TensorFlow. Once your environment is activated, you can run the following command to see what version of TensorFlow you have installed: You can do this by opening a terminal window and running the following command: In order to check your version of TensorFlow, you will first need to activate your conda environment.

If you are using the Anaconda distribution of Python, checking your TensorFlow version is a little more complicated than using pip. If you want to install a specific TensorFlow version, you can use the following command: If you installed TensorFlow using Conda, you can update your version using the following command: This command will show you the version of TensorFlow that is installed, as well as the version of Python that TensorFlow is using. If you have installed TensorFlow using Conda, you can check your TensorFlow version by opening a terminal and running the following command:

In order to check your TensorFlow version in Conda, you will need to open the Anaconda Prompt. Conda is a package and environment manager for TensorFlow. It is widely used by organizations and individuals around the world.

TensorFlow is an open source platform for machine learning.