![]() ![]() IPython will remember which kernel to use for that notebook from then on. In my case it is tensorflowĬ) You should now be able to see your kernel in the IPython notebook menu: Kernel -> Change kernel and be able so switch to it (you may need to refresh the page before it appears in the list). Replacing the -name parameter as appropriate. Python -m ipykernel install -user -name=my-virtualenv-name (tensorflow)C:> conda install -c conda-forge tensorflowĦ) Now you may enter in python and work on tensorflowħ) But if you like to work on Tensorflow on Jupyter notebook you need to setup the karnel for your virtual environment in following steps:Ī) Install the ipython kernel module into your virtualenv activate your virtualenv, if you haven't alreadyī) Now run the kernel "self-install" script: (tensorflow)C:> # Your prompt should changeĥ) Following steps should start installing Tensorflow in virtual environment How to install Tensorflow in Anaconda environment on windows 10ġ) Download and install Anaconda 3.6 (3.5 and above) in your system from Anaconda site.ģ) Create virtual environment by following command: A terminal window with the environment settings created will pop up. Select the arrow next to the Tensorflow environment name. ![]() The above provided steps will install the TensorFlow in your Windows System but still you might face problem in making it available in your Jupyter notebook - hence integrating steps from different places together to have a complete solution: To validate the installation, using the newly created Tensorflow environment: Make sure the Tensorflow environment is selected. To install TensorFlow on Apple’s M1 machines, first download the environment.yml This file contains the instructions to create a Python environment with the dependencies you need. ![]()
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