It is important to keep your software up to date. Here’s a quick guide on how to check your TensorFlow version in Conda.
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TensorFlow is an open source platform for machine learning. It is widely used by organizations and individuals around the world. Conda is a package and environment manager for TensorFlow. In order to check your TensorFlow version in Conda, you will need to open the Anaconda Prompt.
Checking your TensorFlow version
If you have installed TensorFlow using Conda, you can check your TensorFlow version by opening a terminal and running the following command:
conda list tensorflow
This command will show you the version of TensorFlow that is installed, as well as the version of Python that TensorFlow is using.
Updating your TensorFlow version
If you installed TensorFlow using Conda, you can update your version using the following command:
conda update tensorflow
If you want to install a specific TensorFlow version, you can use the following command:
conda install tensorflow=
If you are using the Anaconda distribution of Python, checking your TensorFlow version is a little more complicated than using pip. In order to check your version of TensorFlow, you will first need to activate your conda environment. You can do this by opening a terminal window and running the following command:
source activate tensorflow
Once your environment is activated, you can run the following command to see what version of TensorFlow you have installed:
pip list | grep tensorflow
This will print out a list of all of the Python packages that are installed in your environment, including TensorFlow. The output should look something like this:
tensorflow 1.1.0 py35_0 anaconda
tensorflow-tensorboard 0.1.5 py35_0 anaconda
As you can see, the output includes the name of the package, the version number, and the Python version that it is compatible with. In this case, we have TensorFlow 1.1.0 installed for Python 3.5.
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