Backpropagation in Neural Network - GeeksforGeeks
2024年11月2日 · Backpropagation is a powerful algorithm in deep learning, primarily used to train artificial neural networks, particularly feed-forward networks. It works iteratively, minimizing the …
Backpropagation - Wikipedia
In machine learning, backpropagation [1] is a gradient estimation method commonly used for training a neural network to compute its parameter updates. It is an efficient application of the …
反向传播神经网络（Back propagation neural network ，BPNN）
2021年1月20日 · 本文详细介绍了BP神经网络的基本结构，包括输入、隐藏和输出层，重点阐述了前向传播的过程，从输入到隐藏层再到输出层的数学关系，并展示了向量化实现。 同时，反 …
彻彻底底理解BackPropagation算法 - 知乎 - 知乎专栏
在我们第一次接触神经网络的时候，需要学习的一个非常重要的算法就是backpropagation算法（反向传播），虽然在目前的主流框架中，都有autograd（自动求导）机制，也就是说，反向传播 …
Understanding Backpropagation Algorithm | by Simeon …
2019年8月8日 · The algorithm is used to effectively train a neural network through a method called chain rule. In simple terms, after each forward pass through a network, backpropagation …
反向传播（Backpropagation ） - 知乎 - 知乎专栏
梯度下降法 （Gradient Descent）是机器学习中一种非常重要的优化算法，已知机器学习模型中有参数 \theta=\ {w_1,w_2,...,b_1,b_2,...\} ，经过初始化参数后，我们可以得到预测结果 y ,通过 …
How Does Backpropagation in a Neural Network Work?
2024年10月23日 · Backpropagation is the neural network training process of feeding error rates back through a neural network to make it more accurate. Here’s what you need to know.
A Comprehensive Guide to the Backpropagation Algorithm in Neural Networks
2023年8月22日 · This article is a comprehensive guide to the backpropagation algorithm, the most widely used algorithm for training artificial neural networks. We’ll start by defining forward …
What is Backpropagation? - IBM
Backpropagation is a machine learning technique essential to the optimization of artificial neural networks. It facilitates the use of gradient descent algorithms to update network weights, which …
Back Propagation in Neural Network: Machine Learning …
2024年6月12日 · Backpropagation is the essence of neural network training. It is the method of fine-tuning the weights of a neural network based on the error rate obtained in the previous …
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