【文章推荐】课程二(Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization)，第二周（Optimization algorithms） —— 2.Programming assignments:Optimization

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

Optimization Welcome to the optimization s programming assignment of the hyper parameters tuning specialization. There are many different optimization algorithms you could be using to get you to the m ...

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课程二(Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization)，第三周（Hyperparameter tuning, Batch Normalization

Tensorflow Welcome to the Tensorflow Tutorial! In this notebook you will learn all the basic ...

课程二(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(超参数调整) specialization. It is very important that you regularize ...

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

课程四(Convolutional Neural Networks)，第二周（Deep convolutional models: case studies） —— 2.Programming assignments : Keras Tutorial - The Happy House

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课程四(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 ...

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 ...

论文笔记系列-Speeding Up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves

I. 背景介绍 1. 学习曲线(Learning Curve) 我们都知道在手工调试模型的参数的时候，我们并不会每次都等到模型迭代完后再修改超参数，而是待模型训练了一定的epoch次数后，通过观察 ...

课程四(Convolutional Neural Networks)，第三周（Object detection） —— 2.Programming assignments：Car detection with YOLOv2

Autonomous driving - Car detection Welcome to your week 3 programming assignment. You will learn about object detection using the very powerful YOLO ...

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

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