【文章推荐】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

原文：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 will implement all the building blocks of a neural network and use t ...

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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. ...

课程五(Sequence Models)，第一周（Recurrent Neural Networks） —— 1.Programming assignments：Building a recurrent neural network - step by step

Building your Recurrent Neural Network - Step by Step Welcome to Course 5's first assignment! In this assignment, you will implement your first ...

课程四(Convolutional Neural Networks)，第一周（Foundations of Convolutional Neural Networks） —— 2.Programming assignments：Convolutional Model: step by step

Convolutional Neural Networks: Step by Step Welcome to Course 4's first assignment! In this assignment, you will implement convolutional (CONV ...

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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课程二(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 ...

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

neural networks API (programming framework), written in ...

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 ...

原文：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

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