How to Setup TensorFlow 2.3 Environment for Artificial Intelligence with GPU Support (CUDA 10.1)
This Video will help the beginners to set up the environment for TensorFlow 2.3 with GPU (CUDA 10.1) support on Window 10. This can simplify the setup process multiple folds for the beginners in the field of Machine Learning and Deep Learning. TensorFlow version 2 or greater than 2 have already GPU support enabled. So, unlike the old versions, we just have to install one TensorFlow 2.3 API.
TensorFlow System Requirements for Linux or MAC OS: https://www.tensorflow.org/install/so...
TensorFlow System Requirements for Windows: https://www.tensorflow.org/install/so...
If you don't have GPU in your PC, No need to worry, you can still install TensorFlow 2.3. From the Video, just skip CUDA and CuDNN step. Otherwise, everything is the same.
My GPU is compatible with CUDA 10.1 so it works for me.
You can check your GPU compatibility here: https://docs.nvidia.com/deploy/cuda-c...
My Hardware Specs:
CPU: i7-8750H
GPU: RTX 2080 with Max-Q
My Python Version: 3.8.5