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Tagged with inceptionresnetv2 image-classification
5 questions
2
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1
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Input dimensions for the EfficientNetV2 family of models
I have a question regarding the EfficientNetV2 family of models. If my understanding is correct there are 6 models under this family - B0 to B1 & S are the comparatively smaller models while M &...
- 23
0
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0
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How to utilize the multilabel calssification labels during the course of training
I have a data set that consists of images. I am trying to perform multi-label classification on this data set. But the training labels consist of too many labels which are CSV file format. Now I find ...
- 101
2
votes
1
answer
85
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Deep Learning Classification Model for data with time dimension
I know it might be a generic question but I would still appreciate some feedback. So I have a dataset with 4 dimensions (time, x, y, color). Where I have a total of 24000 records each with (5, 188, ...
- 193
1
vote
0
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What should be the input shape for convLSTM if ResNet-50 is applied before?
I have a video dataset, extracted all its frames, and applied ResNet-50 to extract features from all frames. ResNet-50 provides feature map of (2534, 7, 7, 2048), 2534 are the number of frames.
Now I ...
- 21
1
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2
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2k
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Is it possible the model be better on a few epochs rather than hundreds of epochs?
I have very interesting experience in my CNN binary image classification. Do you think the result is by chance or there is a logic behind it?
I used InceptionV3 transfer with softmax (I know you will ...
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