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Installing and Running Tensorflow-GPU using Anaconda on Windows

How to install Tensorflow-GPU on Windows 10

Ekemini Okpongkpong
Aug 23 · 2 min read

Requirements; Anaconda, A PC with Windows 10 OS, Internet connection and at least 1GB of data.

1. Run Anaconda

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2. Create an Environment

conda create -n gputensorflow python=3.7

For the purpose of this article, the environment name is gputensorflow and we’re installing python version 3.7, you can choose any environment name.

3. Activate the Environment

conda activate gputensorflow

4. Install the ipykernel

To install the kernel, enter the following command;

pip install ipykernel

Then:

python –m ipykernel install --user --name gputensorflow  --display-name “gputensorflow”

5. Installing Tensorflow-GPU

conda install tensorflow-gpu

Anaconda installs Tensorflow-GPU and a number of libraries. This may take a longer time than other installations.

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6. Restart your PC (optional)

7. Run Anaconda and the TensorFlow environment

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8. Launch Jupyter Notebook

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There you go, you can now create your Neural Networks and other stuff with TensorFlow. You can also install other libraries.

I hope the article was helpful, If you encountered any challenge while following the steps, you can send a Direct Message to me on Twitter or drop a comment in the Response section.

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Ekemini Okpongkpong

Written by

Aspiring Data Scientist | Tech Savvy

Data Driven Investor

empowering you with data, knowledge, and expertise

Ekemini Okpongkpong

Written by

Aspiring Data Scientist | Tech Savvy

Data Driven Investor

empowering you with data, knowledge, and expertise

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