Hands-On Transfer Learning with Python

Validating GPU-enablement on your deep learning environment

The final step is to make sure everything is working and that our deep learning frameworks are leveraging our GPU (for which we are paying by the hour!). You can refer to the Test GPU enabling.ipynb Jupyter Notebook for all the code used to test this out. We will cover it in detail here. The first thing we will validate is whether keras and tensorflow are loaded properly in our server. This can be validated by importing them as follows:

import kerasimport tensorflowUsing TensorFlow backend.

If you see the preceding code load up without errors, that is excellent! Otherwise, you might want to retrace the steps you followed earlier and search online for the specific error you ...