This tutorial provides a step-by-step guide on how to implement and train a U-Net model for Melanoma detection using TensorFlow/Keras.
🔍 What You’ll Learn 🔍:
Building U-net 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 generate masks in the lungs position
Testing and Evaluation: Run the pre-trained model on a new fresh images , and visual the test image next to the predicted mask .
Check out our tutorial here :
https://youtu.be/ZiGMTFle7bw&list=UULFTiWJJhaH6BviSWKLJUM9sg
Link for the code : https://ko-fi.com/s/3f1fdb4316
If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here : http://bit.ly/3HeDy1V
Perfect course for every computer vision enthusiastic
Before we continue , I actually recommend this book for deep learning based on Tensorflow and Keras : https://amzn.to/3STWZ2N
You can find more tutorials, and join my newsletter here : https://eranfeit.net/
Enjoy
Eran
#Python #openCV #TensorFlow #Deeplearning #ImageSegmentation #Unet #Resunet #MachineLearningProject #Segmentation