oreilly-japan/deep-learning-from-scratch-3
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
This project helps Python developers learn the fundamental concepts behind modern deep learning frameworks. It guides them through building a minimal yet powerful framework called DeZero from scratch, step-by-step. By following the examples, developers gain a deep understanding of how frameworks like PyTorch and TensorFlow work.
854 stars. No commits in the last 6 months.
Use this if you are a Python developer who wants to understand the inner workings of deep learning frameworks by building one yourself.
Not ideal if you are looking for a high-level library to quickly implement deep learning models without understanding the underlying mechanics.
Stars
854
Forks
330
Language
Python
License
MIT
Category
Last pushed
May 27, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/oreilly-japan/deep-learning-from-scratch-3"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
davisking/dlib
A toolkit for making real world machine learning and data analysis applications in C++
ZigRazor/CXXGraph
Header-Only C++ Library for Graph Representation and Algorithms
apache/singa
a distributed deep learning platform
mlpack/mlpack
mlpack: a fast, header-only C++ machine learning library
hosseinmoein/DataFrame
C++ DataFrame for statistical, financial, and ML analysis in modern C++