Set up the development environment in the IDE
Design, compile, train and evaluate your model. Save and load models
Write your own callbacks to customize behaviour during training
Complete a series of exercises to guide you through experimenting with the different layers of the network
This is a self-paced lab that takes place in the Google Cloud console. In this lab you create a computer vision model that can recognize items of clothing and then explore what affects the training model.
Modeling
Tensorflow
Machine Learning
Learn a new tool or skill in an interactive, hands-on environment
You'll gain access to software and tools in a cloud workspace - no download required
In Projects, you'll complete an activity or scenario by following a set of instructions in an interactive hands-on environment. Projects are completed in a real cloud environment and within real instances of various products as opposed to a simulation or demo environment.
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Yes, you can download and keep any of your created files from the Project. To do so, please make sure you save any files and work to your device before exiting the product environment.
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At the top of the page, you can view the experience level recommended for this Project.
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