vahidk/EffectiveTensorflow
TensorFlow tutorials and best practices.
This guide helps machine learning engineers and researchers learn how to effectively use TensorFlow 2 for building and optimizing models. It explains how to set up calculations, process numerical data, and train models, taking raw data and turning it into trained predictive models or data analyses. The guide covers core concepts like defining mathematical operations, handling data shapes, and leveraging TensorFlow's automatic differentiation capabilities.
8,609 stars. No commits in the last 6 months.
Use this if you are a machine learning practitioner looking for practical examples and best practices to build and improve your TensorFlow 2 models.
Not ideal if you are looking for a basic introduction to machine learning concepts or prefer a different deep learning framework.
Stars
8,609
Forks
888
Language
—
License
—
Category
Last pushed
Oct 22, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/vahidk/EffectiveTensorflow"
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