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Retour à Image Understanding with TensorFlow on GCP

Image Understanding with TensorFlow on GCP, Google Cloud

4.6
140 notes
•
20 avis

À propos de ce cours

***NEW! Specialization Completion Challenge, receive Qwiklabs credits valued up to $150! See below for details.*** 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 SPECIALIZATION COMPLETION CHALLENGE As if learning new skills wasn’t enough of an incentive, we're excited to announce a special completion challenge for 'Advanced Machine Learning with TensorFlow on GCP’ specialization. Here’s how it works: Our completion challenge runs through 11:59pm PT May 5, 2019. Complete any course in this Specialization including this one, anytime in this period and we'll send you 30 Qwiklabs credits for each course completed (upto $150 value given there are 5 courses in the specialization). You can use these credits to take additional labs and earn badges, which you can then add to your resume and social profiles. Your challenge awaits – begin learning on Coursera today!...

Meilleurs avis

par BS

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Jan 23, 2019

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

par AY

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Mar 26, 2019

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19 avis

par Mirko J. Rodriguez

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Apr 04, 2019

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

par Konstantinos Servis

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Mar 29, 2019

Most labs don't work or are pointless

par Abdul Rehman Yousaf

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Mar 26, 2019

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par Facundo Ferrero

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Mar 16, 2019

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

par vincent poncet

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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.

par bhadresh savani

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Jan 23, 2019

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

par Mark Davey

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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,

par Roopesh Nallakshyam

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Dec 23, 2018

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

par Raja Ranjith Garikapati

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Dec 09, 2018

Great learning on Image ML models...

par Carlos Viejo

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Dec 09, 2018

The course provides an excellent overview of Image Understanding with TF and the utilization of all the capabilities of GCP to build productionable image systems.

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