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学生对 Coursera 提供的 Object Localization with TensorFlow 的评价和反馈

4.3
117 个评分

课程概述

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....

热门审阅

LL

Mar 30, 2022

If you want to learn the basics and some advanced techniques in TF on object localization, this will help you get to understand each step of the process.

AO

Mar 29, 2021

A very good and helpful project for object detection. It would be absolute 5-stars guided-project if there was also an example for multiple object detection.

筛选依据:

1 - Object Localization with TensorFlow 的 16 个评论(共 16 个)

创建者 Mohd. F I S

May 16, 2021

Most helpful project. Cleared a lot of things

创建者 Alexandros O

Mar 30, 2021

A very good and helpful project for object detection. It would be absolute 5-stars guided-project if there was also an example for multiple object detection.

创建者 Miguel A Q H

Jul 31, 2021

It is pretty good for ConvNets beginners, but you need to have prior knowlegde in python(OOP, tf, keras, nn programming)

创建者 Lance O L

Mar 31, 2022

If you want to learn the basics and some advanced techniques in TF on object localization, this will help you get to understand each step of the process.

创建者 Shahbaz Q

May 13, 2021

A fine project for CNN beginers.

创建者 Libero P

Sep 7, 2025

Πολύ καλό μάθημα.

创建者 Massimiliano D

Apr 29, 2021

very good project

创建者 Asad H

Jul 9, 2022

Great work

创建者 Balázs N

Aug 1, 2021

Thank you!

创建者 Raimond L

Aug 20, 2023

If you want to get basics to object localization. Give it a try. Keep in mind, that you will need to either run code on your PC or have a Google account to run it on Colab. Also audio quality is not the best.

创建者 Ibrahim M

Apr 1, 2021

I really liked the course and how it was the next step from a classification problem.

创建者 Saad F

Jul 31, 2024

a bit outdated but I managed to make it work.

创建者 Kleider S V G

Mar 1, 2022

What a good course!

创建者 Hari P

Jul 12, 2022

hello

创建者 Oren Z B M

May 22, 2021

Thank you for the organizers and the author. I have learned a thing or two. I did not fully enjoyed. I will avoid giving suggestions as I just cannot put my finger on what bothers me. It just did not work for me. Something was wrong.

创建者 marco s

Mar 9, 2024

so superficial