Res-Unet make it easy to segment Melanona | TensorFlow Tutorial

This tutorial provides a step-by-step guide on how to implement and train a Res-UNet model for Melanoma detection using TensorFlow and Keras.

🔍 What You'll Learn 🔍:

Building Res-Unet model : Learn how to construct the model using TensorFlow and Keras.

Model Training: We'll guide you through the training process, optimizing your model to distinguish Melanoma from non-Melanoma skin lesions.

Testing and Evaluation: Run the pre-trained model on a new fresh images . Explore how to generate masks that highlight Melanoma regions within the images.

Visualizing Results: See the results in real-time as we compare predicted masks with actual ground truth masks.

Code for this video: https://github.com/feitgemel/TensorFlowProjects/tree/master/Unet-Projects/Melanoma%20Res-Unet%20diagnosis

00:00 Intro !!!!!!!
00:56 The Res-U-net architecture
06:09 Build The Res-U-net model
15:25 Train the model 
23:02 Test the model with new fresh images

 ~~~~~~~~~~~~~~~ recommended courses and books ~~~~~~~~~~~~~~~
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, https://amzn.to/44GnlLW : "Make Your Own Neural Network - An In-depth Visual Introduction For Beginners ".
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