- Level Intermediate
- Duration 3 hours
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About
In this 2 hour-long project, you will learn how to approach an image classification task using TensorFlow. You will learn how to effectively preprocess your data to improve model generalizability, as well as build a performant modeling pipeline. Furthermore, you will learn how to accurately evaluate model performance using a confusion matrix; how to interpret results; and how to ask poignant questions about your dataset. Finally, you will fine-tune an existing, state-of-the-art-ready model to improve performance further. Note: This course works best for learners who are based in the North America region. We're currently working on providing the same experience in other regions.Auto Summary
Master image classification with TensorFlow in this 2-hour course by Coursera. Ideal for professionals in Personal Development, you'll learn to preprocess data, build models, and evaluate performance using confusion matrices. Fine-tune state-of-the-art models to classify dog breeds with expert guidance. Best for learners in North America, available with a Starter subscription.