josStorer/nn_example
This repository is related to a video about principles of neural networks, which demonstrates how to write a simple neural network in 100 lines of code and implement handwritten digit recognition without using a framework. 这是一个与神经网络原理讲解视频, 相配套的项目, 演示在不使用框架的情况下, 用约100行代码编写简易的神经网络, 并借此实现手写数字识别.
No commits in the last 6 months.
Stars
12
Forks
3
Language
Python
License
—
Category
Last pushed
Feb 07, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/josStorer/nn_example"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
greydanus/mnist1d
A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep...
potterhsu/SVHNClassifier
A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using...
potterhsu/SVHNClassifier-PyTorch
A PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep...
kensanata/numbers
Handwritten digits, a bit like the MNIST dataset.
kdexd/digit-classifier
A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.