Computer Vision Fundamentals with Google Cloud
Advanced Machine Learning on Google Cloud,
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.
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| Rating | 4.2★ based on 37 ratings |
|---|---|
| Length | 3 weeks |
| Effort | 5 - 7 hours per week |
| Starts | Jul 3 (43 weeks ago) |
| Cost | $49 |
| From | Google Cloud via Coursera |
| Instructor | Google Cloud Training |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Programming IT & Networking |
| Tags | Data Science Machine Learning Cloud Computing Information Technology |
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What people are saying
enable per object acl
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.
including sample json requests
Highly recommended Please improve this course content Fairly basic course and would have liked more guidance on setting up jobs for processing including sample JSON requests etc.
always getting access error
Always getting access error.
courser teach a ongoing
this Courser teach a ongoing technique in GCP, and the worldThe AUTOML is fascinated technique for learning Good A very good course, with cutting edge research about Deep Learning, Go google :-) !
google cloud platform services
End to End learning image undestanding from the scratch manual code to fully automated from Google Cloud Platform services Great TPU Exploration.Mr LEK Is very cool and his explanation about the topic is sound easy.
build productionable image systems
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.
tpu exploration.mr lek
anyway since there
You won't get any feedback on assignments anyway since there is no grader.If you want to check out the material it's better to just clone training-data-analyst from github and do these assignments on GCP free tier.
convolutional neural network
Also, I would like to see how the pattern of image was formed throught the convolutional neural network in a lab.
cutting edge research
get any feedback
automl vision
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| Rating | 4.2★ based on 37 ratings |
|---|---|
| Length | 3 weeks |
| Effort | 5 - 7 hours per week |
| Starts | Jul 3 (43 weeks ago) |
| Cost | $49 |
| From | Google Cloud via Coursera |
| Instructor | Google Cloud Training |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Programming IT & Networking |
| Tags | Data Science Machine Learning Cloud Computing Information Technology |
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