Row 75083

Row ID: 75083 | Dataset Entry | Axioma AXP Content Repository

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https://preview.redd.it/av0ax3o9ab2d1.jpg?width=1280&format=pjpg&auto=webp&s=66bc07cbd5683a922a67b1343185308767f797dc

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/av0ax3o9ab2d1.jpg?width=1280&format=pjpg&auto=webp&s=66bc07cbd5683a922a67b1343185308767f797dc 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 l…
label r/tensorflow
dataType post
communityName r/tensorflow
datetime 2024-05-24
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Raw Record

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