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

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

Regularization Welcome to the first assignment of the hyper parameters tuning 超參數調整 specialization. It is very important that you regularize your model properly because it could dramatically improve y ...

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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 ...

課程二(Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization)，第二周（Optimization algorithms） —— 2.Programming assignments

Optimization Welcome to the optimization's programming assignment of the hyper-parameters tuning specialization. There are many different ...

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Deep Learning Specialization 吳恩達老師最近在coursera上聯合deeplearning.ai 推出了有關深度學習的一系列課程，相對於之前的machine learning課程，這次的課程更加實用，作業語言也有matlab改為了python從而更加貼合目前的趨勢 ...

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

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