hi everybody
I converted each word into a vector with one-hot encoding. So that each haplotype has become a two-dimensional matrix. I need CNN to classify them.
I appreciate your help.
Best regards
Here are some nice tutorials for image classification using deep convolutional neural network models :
https://machinelearningmastery.com/how-to-develop-a-convolutional-neural-network-to-classify-photos-of-dogs-and-cats/
https://machinelearningmastery.com/how-to-develop-a-cnn-from-scratch-for-cifar-10-photo-classification/
https://machinelearningmastery.com/how-to-develop-a-convolutional-neural-network-from-scratch-for-mnist-handwritten-digit-classification/
You can use pre-trained models such as
VGG16,Xception,VGG19,ResNet50,ResNet101,InceptionV3,MobileNet,MobileNetV2,DenseNet121,DenseNet169,DenseNet201,ResNet50V2,ResNet101V2,ResNet152V2,NASNetMobile,NASNetLarge,EfficientNetB0,EfficientNetB7
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