2024 年 7 月

In the previous blog post, we learned about the basic concepts of cost functions and gradient descent.在上一篇博客中，我们了解了成本函数和梯度下降的基本概念。 Today, we will delve into the core of neural network training – the backpropagation algorithm, and answer some common questions.今天，我们将深入探讨神经网络的训练核心——反向传播算法，并回答一些大家关心的问题。 1. What is Backpropagation? 什么是反向传播？ Backpropagation is an efficient algorithm used to calculate the gradient of the cost […]

在上一篇博客中，我们了解了神经网络的基本结构和工作原理。 In the previous blog post, we learned about the basic structure and working principles of neural networks. 今天，我们将深入探讨神经网络如何学习，以及两个关键概念：成本函数和梯度下降。 Today, we will delve into how neural networks learn and explore two key concepts: cost functions and gradient descent. 1. 神经网络如何学习？ 1. How do Neural Networks Learn? 想象一下，你是一个新手司机，正在学习如何驾驶汽车。一开始，你可能会犯很多错误，比如转弯太急、刹车太晚等等。但是，通过不断练习和从错误中学习，你会逐渐掌握驾驶技巧，变得越来越熟练。 Imagine you are a novice driver learning how

Hello everyone! Today, let’s delve into the mysterious and powerful world of neural networks. Don’t worry, I’ll use the simplest and easiest-to-understand way to unveil its secrets step by step. 大家好！今天我们来深入探讨神经网络这个神秘而又强大的领域。别担心，我会用最简单易懂的方式，带你一步步揭开它的面纱。 1. What is a Neural Network? 什么是神经网络？ Imagine that our brain is a complex network composed of billions of neurons. These neurons are interconnected