horance-liu/tensorflow-internals
It is open source ebook about TensorFlow kernel and implementation mechanism.
This open-source ebook helps software developers understand the core mechanics of TensorFlow. It takes you from the foundational programming model and computation graph to advanced topics like distributed training, providing a deep dive into how TensorFlow actually works behind the scenes. Developers building or optimizing machine learning systems with TensorFlow will find this resource invaluable.
2,897 stars. No commits in the last 6 months.
Use this if you are a software developer working with TensorFlow and need to understand its internal architecture and implementation details for better debugging, optimization, or advanced usage.
Not ideal if you are looking for a guide on how to *use* TensorFlow for building models, rather than understanding its underlying systems.
Stars
2,897
Forks
576
Language
TeX
License
—
Category
Last pushed
May 05, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/horance-liu/tensorflow-internals"
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