Computer Science / Convolutional Neural Networks (CNN)

Fine-tuning Convolutional Networks to Classify Dog Breeds

Brought by: Coursera

Overview

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.

Syllabus

Fine-tuning Convolutional Networks to Classify Dog Breeds

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.

Taught by

Ari Anastassiou

Computer Science / Convolutional Neural Networks (CNN)

Fine-tuning Convolutional Networks to Classify Dog Breeds

Fine-tuning Convolutional Networks to Classify Dog Breeds

Brought by: Coursera

Coursera
Paid
English
Certificate Available
Available at any time
intermediate
English

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