【文章推薦】《Neural Networks and Deep Learning》課程筆記

原文：《Neural Networks and Deep Learning》課程筆記

Lesson Neural Network and Deep Learning 這篇文章其實是 Coursera 上吳恩達老師的深度學習專業課程的第一門課程的課程筆記。參考了其他人的筆記繼續歸納的。邏輯回歸 Logistic Regression 邏輯回歸的定義神經網絡的訓練過程可以分為前向傳播 forward propagation 和反向傳播 backward propagation 的 ...

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課程一(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 ...

課程一(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. ...

課程一(Neural Networks and Deep Learning)，第一周（Introduction to Deep Learning）—— 2、10個測驗題

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

課程一(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 ...

課程一(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. ...

課程一(Neural Networks and Deep Learning)，第二周（Basics of Neural Network programming）—— 1、10個測驗題（Neural Network Basics）

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Deep Residual Learning in Spiking Neural Networks

鄭重聲明：原文參見標題，如有侵權，請聯系作者，將會撤銷發布！ 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia. （同組工作） Abstract ...

Neural Networks and Deep Learning(神經網絡與深度學習) - 學習筆記

catalogue 0. 引言 0x1: 神經網絡的分層神經元意味着什么為了解釋這個問題，我們先從一個我們熟悉的場景開始說起，電子電路的設計如上圖所示，在實踐中，在 ...

原文：《Neural Networks and Deep Learning》課程筆記

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