【文章推荐】《Neural Networks and Deep Learning》课程笔记

原文：《Neural Networks and Deep Learning》课程笔记

Lesson Neural Network and Deep Learning 这篇文章其实是 Coursera 上吴恩达老师的深度学习专业课程的第一门课程的课程笔记。参考了其他人的笔记继续归纳的。逻辑回归 Logistic Regression 逻辑回归的定义神经网络的训练过程可以分为前向传播 forward propagation 和反向传播 backward propagation 的 ...

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课程一(Neural Networks and Deep Learning)，第四周（Deep Neural Networks） —— 3.Programming Assignments: Deep Neural Network - Application

Deep Neural Network - Application Congratulations! Welcome to the fourth programming exercise of the deep learning specialization. You ...

课程一(Neural Networks and Deep Learning)，第二周（Basics of Neural Network programming）—— 4、Logistic Regression with a Neural Network mindset

Logistic Regression with a Neural Network mindset Welcome to the first (required) programming exercise of the deep learning specialization. ...

课程一(Neural Networks and Deep Learning)，第一周（Introduction to Deep Learning）—— 2、10个测验题

1、What does the analogy “AI is the new electricity” refer to? (B) A. Through the “smart grid”, AI ...

课程一(Neural Networks and Deep Learning)，第四周（Deep Neural Networks）——2.Programming Assignments: Building your Deep Neural Network: Step by Step

Building your Deep Neural Network: Step by Step Welcome to your third programming exercise of the deep learning specialization. You ...

课程一(Neural Networks and Deep Learning)，第三周（Shallow neural networks）—— 3.Programming Assignment : Planar data classification with a hidden layer

Planar data classification with a hidden layer Welcome to the second programming exercise of the deep learning specialization. ...

课程一(Neural Networks and Deep Learning)，第二周（Basics of Neural Network programming）—— 1、10个测验题（Neural Network Basics）

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Deep Residual Learning in Spiking Neural Networks

郑重声明：原文参见标题，如有侵权，请联系作者，将会撤销发布！ 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia. （同组工作） Abstract ...

Neural Networks and Deep Learning(神经网络与深度学习) - 学习笔记

catalogue 0. 引言 0x1: 神经网络的分层神经元意味着什么为了解释这个问题，我们先从一个我们熟悉的场景开始说起，电子电路的设计如上图所示，在实践中，在 ...

原文：《Neural Networks and Deep Learning》课程笔记

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