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

原文：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 programming assignment. You will learn about object detection using the very powerful YOLO model. Many of the ideas in this notebook are described ...

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课程四(Convolutional Neural Networks)，第三周（Object detection） —— 1.Practice questions：Detection algorithms

【解释】 tree的两个bounding boxes 都要保留，因为交并比小于0.5；car 0.73保留；pedestrain 0.98保留；motorcycle 0.58保留。一共5个。【解释 ...

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 ...

课程五(Sequence Models)，第三周（Sequence models & Attention mechanism） —— 2.Programming assignments：Trigger word detection

Expected OutputTrigger Word Detection Welcome to the final programming assignment of this specialization! In this week's videos, you learned about ...

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 ...

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 ...

object detection[YOLOv2]

接着扯YOLO v2 相比较于YOLO v1，作者在之前模型上，先修修补补了一番，提出了YOLO v2模型。并基于imagenet的分类数据集和coco的对象检测数据集，提出了wordnet模型，并成 ...

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 ...

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

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

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