Skin Melanoma Classification: Step-by-Step Guide with 20,000+ Images

Welcome to our comprehensive guide on skin melanoma classification using a powerful convolutional neural network (CNN) model. In this video, we delve into the deep learning and demonstrate how it can categorize skin melanoma.

With over 20,000 skin images at our disposal, we take you through the step-by-step process of preparing and organizing the data to ensure optimal model performance

Next, we dive into the creation and building of our CNN model. We explore the architecture, layer configurations, and the train process.

To put our model to the ultimate test, we download a fresh skin melanoma image from Google and demonstrate its prediction capabilities in real-time.

Code for this video: https://ko-fi.com/s/cc182f8c68

More relevant content in this playlist : https://www.youtube.com/playlist?list=PLdkryDe59y4Ze9_12JhWu3cs-lOGYwYeD

00:00 Intro
00:28 Let's start coding - Get the dataset
14:17 Build the CNN model
27:24 Test the CNN model with a new fresh image
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A perfect course for learning modern Computer Vision with deep dive in TensorFlow , Keras and Pytorch . You can find it here : http://bit.ly/3HeDy1V 
I also recommend this book for deep dive in deep learning : https://amzn.to/3TTZym7
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