Chevron Left
返回到 Object Localization with TensorFlow

學生對 Coursera Project Network 提供的 Object Localization with TensorFlow 的評價和反饋

4.4
92 個評分

課程概述

Welcome to this 2 hour long guided project on creating and training an Object Localization model with TensorFlow. In this guided project, we are going to use TensorFlow's Keras API to create a convolutional neural network which will be trained to classify as well as localize emojis in images. Localization, in this context, means the position of the emojis in the images. This means that the network will have one input and two outputs. Think of this task as a simpler version of Object Detection. In Object Detection, we might have multiple objects in the input images, and an object detection model predicts the classes as well as bounding boxes for all of those objects. In Object Localization, we are working with the assumption that there is just one object in any given image, and our CNN model will classify and localize that object. Please note that you will need prior programming experience in Python. You will also need familiarity with TensorFlow. This is a practical, hands on guided project for learners who already have theoretical understanding of Neural Networks, Convolutional Neural Networks, and optimization algorithms like Gradient Descent but want to understand how to use use TensorFlow to solve computer vision tasks like Object Localization....

熱門審閱

篩選依據:

1 - Object Localization with TensorFlow 的 12 個評論(共 12 個)

創建者 Md. F I

2021年5月16日

創建者 Alexandros O

2021年3月30日

創建者 Miguel A Q H

2021年7月31日

創建者 Lance O L

2022年3月31日

創建者 Md S Q

2021年5月13日

創建者 Massimiliano D

2021年4月29日

創建者 Asad H

2022年7月9日

創建者 Balázs N

2021年8月1日

創建者 Muhammad I

2021年4月1日

創建者 Kleider S V G

2022年3月1日

創建者 Hari P

2022年7月12日

創建者 Oren Z B M

2021年5月22日