Row 75058

Row ID: 75058 | Dataset Entry | Axioma AXP Content Repository

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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

Link for the code : https://github.com/feitgemel/TensorFlowProjects/tree/master/Skin-Lesion

Enjoy

Eran

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

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text 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 …
label r/neuralnetworks
dataType post
communityName r/neuralnetworks
datetime 2024-05-24
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  "text": "Discover how to build a CNN model for skin melanoma classification using over 20,000 images of skin lesions.\n\n\n\nWe'll begin by diving into data preparation, where we will organize, clean, and prepare the data form the classification model.\n\n\n\nNext, 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.\n\n\n\nFinally, we will test the model on a new fresh image and challenge our model.\n\n \n\nCheck out our tutorial here : https://youtu.be/RDgDVdLrmcs\n\nLink for the code : https://github.com/feitgemel/TensorFlowProjects/tree/master/Skin-Lesion\n\n\n\nEnjoy\n\nEran\n\n\n\n#Python #Cnn #TensorFlow #deeplearning #neuralnetworks #imageclassification #convolutionalneuralnetworks #SkinMelanoma #melonomaclassification \n\n",
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