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Image Understanding with TensorFlow on GCP, Google Cloud

4.6
Оценки: 164
Рецензии: 22

Об этом курсе

This is the third course of the Advanced Machine Learning on GCP specialization. In this course, We will take a look at different strategies for building an image classifier using convolutional neural networks. We'll improve the model's accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting our data. We will also look at practical issues that arise, for example, when you don’t have enough data and how to incorporate the latest research findings into our models. You will get hands-on practice building and optimizing your own image classification models on a variety of public datasets in the labs we’ll work on together. Prerequisites: Basic SQL, familiarity with Python and TensorFlow...

Лучшие рецензии

автор: BS

Jan 23, 2019

It was One of the great course having labs which was really fun

автор: AY

Mar 26, 2019

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Рецензии: 21

автор: Armando Flores

May 18, 2019

Highly recommended

автор: Gregory R. Gray Jr.

Apr 30, 2019

Thumbs Up!

автор: Mirko J. Rodriguez

Apr 04, 2019

You should improve the explanation of Transfer Learning from prebuilt models like ResNet. The conceptual side is not clear.

автор: Konstantinos Servis

Mar 29, 2019

Most labs don't work or are pointless

автор: Abdul Rehman Yousaf

Mar 26, 2019

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автор: Facundo Ferrero

Mar 16, 2019

Excelent in every aspect. contents, coding, pacing. awesome

автор: vincent poncet

Feb 16, 2019

Several quicklabs issues

TPU quicklabs does not work. Always getting access error. I added manually the rights, but then I have an error about import apache-beam.

AutoML Vision quicklabs needs to mention to enable per object ACL or you cannot set the ACL.

Datalab is very very slow to start, very painful.

автор: bhadresh savani

Jan 23, 2019

It was One of the great course having labs which was really fun

автор: Mark Davey

Jan 21, 2019

Was worried this would be just another CNN course but it was so much more. Showing out to use existing models etc. The details on CNN is a little lite but that can be found elsewhere. What was really good was the batch normalization and using pre-trained models but just changing the dense layers to provide classification,

автор: Roopesh Nallakshyam

Dec 23, 2018

Good Practical Experience with the concepts what that I learned . Good for recommending my friends.