【文章推薦】課程一(Neural Networks and Deep Learning)，第四周（Deep Neural Networks） —— 3.Programming Assignments: Deep Neural Network - Application

原文：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 will now use everything you have learned to build a deep neural netw ...

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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 ...

課程四(Convolutional Neural Networks)，第二周（Deep convolutional models: case studies） ——3.Programming assignments : Residual Networks

Residual Networks Welcome to the second assignment of this week! You will learn how to build very deep convolutional networks, using Residual ...

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. ...

課程二(Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization)，第一周（Practical aspects of Deep Learning） —— 3.Programming

Regularization Welcome to the first assignment of the hyper parameters tuning(超參數調整) special ...

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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《Neural Networks and Deep Learning》課程筆記

Lesson 1 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 ...

課程二(Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization)，第一周（Practical aspects of Deep Learning） —— 4.Programming

Gradient Checking Welcome to this week's third programming assignment! You will be implementing gradient checking to make sure that your ...

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

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