Rishit-dagli/Gradient-Centralization-TensorFlow
Instantly improve your training performance of TensorFlow models with just 2 lines of code!
This package helps deep learning practitioners train TensorFlow models faster and achieve better accuracy. By integrating this optimization technique, your models will learn more efficiently. It takes your existing TensorFlow model training setup and enhances the gradient computation, resulting in improved model performance.
105 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher looking to speed up the training of your TensorFlow deep neural networks and improve their generalization capabilities.
Not ideal if you are working with models outside of the TensorFlow framework or if your current model training performance is already satisfactory.
Stars
105
Forks
22
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 09, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Rishit-dagli/Gradient-Centralization-TensorFlow"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
tensorflow/docs
TensorFlow documentation
PacktPublishing/Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
GoogleCloudPlatform/tf-estimator-tutorials
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform...
menon92/DL-Sneak-Peek
Deep learning Bangla resources using TensorFlow
carpentries-lab/deep-learning-intro
Learn Deep Learning with Python