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.

6 questions
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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, it can score highly (i.e. there is no measure of…
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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 extraction, which is the Inception network. And…
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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 just before the fully connected layer) of…
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How can a neural network handle different image sizes, when performing deep dreaming using image pyramids?

I read that image pyramids are used for deep dreaming. The image is feed through the network multiple times and is rescaled during the process, to capture features in different scales. But how can the neural network handle the different input sizes?…
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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. $n \times n = 224 \times 224$ $f \times f = 7 \times 7$ stride: $s =…
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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.kaggle.com/gti-upm/leapgestrecog/version/1 My…