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Implementing a Neural Network from Scratch with NumPy: Deep Dive into MNIST Handwritten Digit Recognition

This article introduces a neural network project implemented purely with NumPy. By building forward propagation, backpropagation, and gradient descent from scratch, it helps learners gain a deep understanding of the core principles of deep learning and includes visualization of the training process.

神经网络NumPyMNIST手写数字识别反向传播梯度下降深度学习机器学习前向传播从零实现
Published 2026-06-14 18:44Recent activity 2026-06-14 18:47Estimated read 1 min
Implementing a Neural Network from Scratch with NumPy: Deep Dive into MNIST Handwritten Digit Recognition
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Section 01

导读 / 主楼:Implementing a Neural Network from Scratch with NumPy: Deep Dive into MNIST Handwritten Digit Recognition

Introduction / Main Post: Implementing a Neural Network from Scratch with NumPy: Deep Dive into MNIST Handwritten Digit Recognition

This article introduces a neural network project implemented purely with NumPy. By building forward propagation, backpropagation, and gradient descent from scratch, it helps learners gain a deep understanding of the core principles of deep learning and includes visualization of the training process.