jtkostman / keras-tensorflow-windows-installation

10 easy steps to install Tensorflow-GPU and Keras in Windows

Keras-TensorFlow-GPU-Windows-Installation

10 easy steps on the installation of TensorFlow-GPU and Keras in Windows

Step 1: Install Anaconda (Python 3.6 version) Download

Step 2: Update Anaconda

Open Anaconda Prompt to type the following command(s)

conda update conda
conda update --all

Step 3: Install CUDA Tookit 8.0 Download

Choose your version depending on your Operating System

Step 4: Download cuDNN Download

Choose your version depending on your Operating System. Membership registration is required.

Put your unzipped folder in C drive as follows:

C:\cudnn-8.0-windows10-x64-v5.1

Step 5: Add cuDNN into Environment PATH Tutorial

Add the following path in your Environment. Subjected to changes in your installation path.

C:\cudnn-8.0-windows10-x64-v5.1\cuda\bin

Turn off all the prompts. Open a new Anaconda Prompt to type the following command(s)

echo %PATH%

You shall see that the new Environment PATH is there.

Step 6: Create an Anaconda environment with Python=3.5

Open Anaconda Prompt to type the following command(s)

conda create -n tensorflow python=3.5 numpy scipy matplotlib spyder

Step 7: Activate the environment

Open Anaconda Prompt to type the following command(s)

activate tensorflow

Step 8: Install TensorFlow-GPU-1.0.1

Open Anaconda Prompt to type the following command(s)

pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-1.0.1-cp35-cp35m-win_amd64.whl

Step 9: Install Keras

Open Anaconda Prompt to type the following command(s)

pip install keras

Step 10: Testing

Let's try running mnist_mlp.py in your prompt.

Open Anaconda Prompt to type the following command(s)

activate tensorflow
python mnist_mlp.py

Congratulations ! You have successfully run Keras (with Tensorflow backend) over GPU on Windows !