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Image Understanding with TensorFlow on GCP

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.
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Pluralsight

Rating Not enough ratings
Length 4.3 hours
Starts On Demand (Start anytime)
Cost $35/month (Access to entire library- free trial available)
From Pluralsight
Instructors g, o, l, e
Download Videos On Windows, MacOS, iOS, and Android Pluralsight app
Language English
Subjects IT & Networking
Tags Data Professional

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Pluralsight

Rating Not enough ratings
Length 4.3 hours
Starts On Demand (Start anytime)
Cost $35/month (Access to entire library- free trial available)
From Pluralsight
Instructors g, o, l, e
Download Videos On Windows, MacOS, iOS, and Android Pluralsight app
Language English
Subjects IT & Networking
Tags Data Professional

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