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 Python
via 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...
-
Dialogs are useful GUI components that allow you to communicate with the user (hence the name dialog ). They are commonly used for file Ope...
-
This tutorial outlines object oriented programming (OOP) in Python with examples. It is a step by step guide which was designed for people w...
No comments:
Post a Comment