1. Create python 3.8.5 Environment
2. Update Nvidia graphic driver version to 461.40
https://www.nvidia.com/download/index.aspx?lang=en-us
3. Download and Install CUDA 11.1 for Windows 10
https://developer.nvidia.com/cuda-toolkit-archive
4. Download and unzip cuDNN 8.1.0
https://developer.nvidia.com/rdp/cudnn-download#a-collapse805-110
Copy bin, include, lib three folders under cuda unzip folder to
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1
Copy bin folder under cuda unzip folder to
<anaconda_install_path>\Anaconda3\envs\<env_name>\Library
Add :
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\lib\x64
to [Path] System Environment variable
conda install cudatoolkit
6. Install TensorFlow 2.4.1 (This version include TensorFlow-GPU and Keras)
pip install --upgrade tensorflow
7. Verify TensorFlow
from tensorflow.python.client import device_lib
print(device_lib.list_local_devices())
8. Verify Keras (tensorflow.keras)
import keras ==> import tensorflow.keras