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学生对 Google Cloud 提供的 Computer Vision Fundamentals with Google Cloud 的评价和反馈

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548 个评分

课程概述

This course describes different types of computer vision use cases and then highlights different machine learning strategies for solving these use cases. The strategies vary from experimenting with pre-built ML models through pre-built ML APIs and AutoML Vision to building custom image classifiers using linear models, deep neural network (DNN) models or convolutional neural network (CNN) models. The course shows how to improve a model's accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting the data. The course also looks at practical issues that arise, for example, when one doesn't have enough data and how to incorporate the latest research findings into different models. Learners will get hands-on practice building and optimizing their own image classification models on a variety of public datasets in the labs they will work on....

热门审阅

WP

Dec 8, 2019

End to End learning image undestanding from the scratch manual code to fully automated from Google Cloud Platform services

AS

Nov 27, 2018

Really interesting labs in this course!.Thank you!

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51 - Computer Vision Fundamentals with Google Cloud 的 62 个评论（共 62 个）

创建者 Kiruthika M

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Mar 29, 2021

I hope its an useful course for my carrer.

创建者 Armando F

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May 18, 2019

Highly recommended

创建者 Nikhileshkumar I

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Sep 15, 2019

greate course.

创建者 hemant k

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Nov 27, 2018

Good material

创建者 George V

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Apr 12, 2020

nice

创建者 Preston L

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Jan 9, 2022

Was a good start; kinda expected them to do more with use cases other than the basic single-category classification.

创建者 Jeramia P

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Aug 7, 2019

Many things have changed in the labs and the instructions are no longer as clear and relevant as in other courses.

创建者 German M

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Aug 4, 2020

Overall good effort. Some of the labs at week 2 should be adapted to the TF 2.X specs.

创建者 VIGNESHKUMAR R

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Dec 30, 2019

Please improve this course content

创建者 Danilo D

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Nov 17, 2019

Many labs have not been updated

创建者 Kartik .

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Sep 21, 2019

code not explained correctly

创建者 Max M

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Jul 19, 2020

labs are the same and not challenging