MemorialCheng/deep-learning-from-scratch
《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》
This resource provides comprehensive learning materials for those looking to understand and implement deep learning and machine learning concepts. It offers foundational theory, practical examples, and source code, along with structured learning notes and PDF textbooks. Aspiring data scientists, machine learning engineers, and AI researchers can use this to grasp algorithms like CNN, RNN, GAN, and practice with the scikit-learn library.
1,349 stars. No commits in the last 6 months.
Use this if you are an individual learner or educator seeking free, organized materials to learn deep learning and machine learning from the ground up, with a focus on Python-based implementations.
Not ideal if you are an experienced practitioner looking for advanced, niche research papers or production-ready deployment tools rather than educational content.
Stars
1,349
Forks
380
Language
Jupyter Notebook
License
—
Category
Last pushed
Nov 03, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/MemorialCheng/deep-learning-from-scratch"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
PaddlePaddle/Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice...
fastai/fastai
The fastai deep learning library
openvinotoolkit/openvino_notebooks
📚 Jupyter notebook tutorials for OpenVINO™
PaddlePaddle/docs
Documentations for PaddlePaddle
msuzen/bristol
Parallel random matrix tools and complexity for deep learning