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返回到 Fine-tuning Convolutional Networks to Classify Dog Breeds

学生对 Coursera Project Network 提供的 Fine-tuning Convolutional Networks to Classify Dog Breeds 的评价和反馈

课程概述

In this 2 hour-long project, you will learn how to approach an image classification task using TensorFlow. You will learn how to effectively preprocess your data to improve model generalizability, as well as build a performant modeling pipeline. Furthermore, you will learn how to accurately evaluate model performance using a confusion matrix; how to interpret results; and how to ask poignant questions about your dataset. Finally, you will fine-tune an existing, state-of-the-art-ready model to improve performance further. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....
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1 - Fine-tuning Convolutional Networks to Classify Dog Breeds 的 2 个评论(共 2 个)

创建者 Yaron K

May 22, 2021

An extended example of how to preprocess data for a CNN, and then build the CNN or use transfer learning to create an image classification model. The complete notebooks are in the project resource section - so you can concentrate on listening to the lecturer and on annotating the code.

创建者 Lasal J

Jun 1, 2021

The Course was not what I expected, the code didn't work and I had to search in stack overflow over and over again. UNPLEASENT EXPERIENCE!!!!!