TensorFlow Tutorial 20 - Classifying Skin Cancer [BEGINNER PROJECT EXAMPLE] faq

instructor Instructor: Aladdin Persson instructor-icon
duration Duration: 1.00 duration-icon

This tutorial provides a beginner-level example of classifying skin cancer using TensorFlow. It begins by introducing the dataset and preprocessing script, then moves on to setting up the model and training it. To improve accuracy, better metrics are introduced, such as the ROC curve. Finally, the tutorial ends with an evaluation and conclusion.

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Youtube

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

On-Demand

Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [February 21st, 2023]

This course provides a beginner-level introduction to the TensorFlow library and its application in classifying skin cancer. It covers the basics of the dataset, preprocessing, model setup, and training, as well as introducing better metrics and the ROC curve for evaluation.
Possible Development Paths include furthering their knowledge of machine learning and deep learning, as well as exploring other applications of TensorFlow. Learners could also look into other datasets and models to apply their newfound knowledge.
Learning Suggestions for learners include exploring other datasets and models, as well as reading up on machine learning and deep learning. Learners could also look into other applications of TensorFlow, such as image recognition and natural language processing. Additionally, learners could look into other metrics and evaluation techniques, such as precision and recall.

Course Provider

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