How To Use Your GPU for Machine Learning on Windows with Jupyter Notebook and Tensorflow
A quick guide on how to enable the use of your GPU for machine learning with Jupyter Notebook, Tensorflow, Keras on the Windows operating system.
I researched and tried various methods to get this work, and discovered this to be the easiest and quickest solution.
This will allow you to use your GPU instead of your CPU when training your your neural network.
This makes it so that iteration through each epoch of your datasets will be completed faster.
Heres a copy of the test functions:
import tensorflow as tf
from tensorflow import keras
print("Num GPUs Available: ", len(tf.config.experimental.list_physical_devices('GPU')))
tf.test.is_built_with_cuda()
print(tf.version.VERSION)
import sys
sys.version
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