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Opiniones y comentarios de aprendices correspondientes a Object Localization with TensorFlow por parte de Coursera Project Network

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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....

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1 - 12 de 12 revisiones para Object Localization with TensorFlow

por Md. F I

16 de may. de 2021

Most helpful project. Cleared a lot of things

por Alexandros O

30 de mar. de 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.

por Miguel Q

31 de jul. de 2021

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

por Lance O L

31 de mar. de 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.

por Md S Q

13 de may. de 2021

A fine project for CNN beginers.

por Massimiliano D

29 de abr. de 2021

very good project

por Asad H

9 de jul. de 2022

Great work

por Balázs N

1 de ago. de 2021

Thank you!

por Muhammad I

1 de abr. de 2021

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

por Kleider S V G

1 de mar. de 2022

What a good course!

por Hari P

12 de jul. de 2022


por Oren Z B M

22 de may. de 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.