Row 67679

Row ID: 67679 | Dataset Entry | Axioma AXP Content Repository

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https://preview.redd.it/r4rqfix2682d1.jpg?width=1280&format=pjpg&auto=webp&s=f13700a5c63e5a9230de7cc473e51d07d18314fb

Discover how to build a CNN model for skin melanoma classification using over 20,000 images of skin lesions

We'll begin by diving into data preparation, where we will organize, clean, and prepare the data form the classification model.

Next, we will walk you through the process of build and train convolutional neural network (CNN) model. We'll explain how to build the layers, and optimize the model.

Finally, we will test the model on a new fresh image and challenge our model.

Check out our tutorial here : [https://youtu.be/RDgDVdLrmcs](https://youtu.be/RDgDVdLrmcs)

Enjoy

Eran

#Python #Cnn #TensorFlow #deeplearning #neuralnetworks #imageclassification #convolutionalneuralnetworks #SkinMelanoma #melonomaclassification

FieldValue
text https://preview.redd.it/r4rqfix2682d1.jpg?width=1280&format=pjpg&auto=webp&s=f13700a5c63e5a9230de7cc473e51d07d18314fb Discover how to build a CNN model for skin melanoma classification using over 20,000 images of skin lesions   We'll begin by diving into data preparation, where we will organize, clean, and prepare the data form the classification model.   Next, we will walk you through the process of build and train convolutional neural network (CNN) model. We'll explain how to build the la…
label r/deeplearning
dataType post
communityName r/deeplearning
datetime 2024-05-23
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Raw Record

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