I'm training a small neural network using Tensorflow 1.10 . The training process goes well and I get expected results, but it works weirdly in the validation or in the testing process. I'm checking out my code multiple times, but can't find the reason. Why I'm getting different results in the training and validation process....
from Planet SciPy
read more
Subscribe to:
Post Comments (Atom)
TestDriven.io: Working with Static and Media Files in Django
This article looks at how to work with static and media files in a Django project, locally and in production. from Planet Python via read...
-
Podcasts are a great way to immerse yourself in an industry, especially when it comes to data science. The field moves extremely quickly, an...
-
If you are already developing Python GUI apps with PySide2, you might be asking yourself whether it's time to upgrade to PySide6 and use...
-
There is not much fun in creating your own desktop applications if you can't share them with other people — whether than means publishin...
No comments:
Post a Comment