Questions tagged [inception]
For questions about the different Inception models. The first inception model was proposed in "Going deeper with convolutions" (2014) by Christian Szegedy et al.
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Why doesn't the inception score measure intra-class diversity
It's mentioned here that there is no measure of intra-class diversity with the inception score:
If your generator generates only one image per classifier image class,
repeating each image many times, ...
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Does the Frechet Inception Distance (FID) consider color?
I was wondering if the Frechet inception distance
for two colored datasets would be the same than the FID calculated for the same datasets converted to grayscale.
I know that it depends on the feature ...
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Is it normal that we get different AUC results after running with various seeds?
We are working on optimizing a CNN made for binary image classification (by that I mean to classify each image to group A or group B). It is based on InceptionV3, using PyTorch.
We saw that choosing ...
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How to train my model using transfer learning on inception_v3 pre-trained model?
I am trying to train my model to classify 10 classes of hand gestures but I don't get why am I getting validation accuracy approx. double than training accuracy.
My dataset is from kaggle:
https://www....
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What is the exact output of the Inception ResNet V2's feature extraction layer?
I am working with the Inception ResNet V2 model, pre-trained with ImageNet, for face recognition.
However, I'm so confused about what the exact output of the feature extraction layer (i.e. the layer ...
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In the inception neural network, how is an image of shape $224 \times 224 \times 3$ converted into one of shape $112 \times 112 \times 64$?
According to the original paper on page 4, $224 \times 224 \times 3$ image is reduced to $112 \times 112 \times 64$ using a filter $7 \times 7$ and stride $2$ after convolution.
$n \times n = 224 \...
