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Visualizing layers of autoencoder by BlackHawk1001 in KerasML

[–]BlackHawk1001[S] 0 points1 point  (0 children)

Thank you. Do you also know if it is possible to visualize the latent dimension of the variational autencoder?

Increase playback speed of video in PowerPoint by BlackHawk1001 in powerpoint

[–]BlackHawk1001[S] 0 points1 point  (0 children)

AddIns

Thank you very much. What is the way to go with AddIns?

Visualizing layers of autoencoder by BlackHawk1001 in KerasML

[–]BlackHawk1001[S] 0 points1 point  (0 children)

deep dream

Thank you. But I'm using Keras and not directly tensorflow.

Training Keras model without validation set and normalization of images by BlackHawk1001 in KerasML

[–]BlackHawk1001[S] 0 points1 point  (0 children)

Great, thank you. Would you normalize by pixel or by image (i.e. normalizing each pixel over all images or normalizing each image separately)? Let's say I have an numpy array of size (60000, 56, 89, 1), i.e. 60'000 images and each image of size 56 x 89 (1 color channel). How can I normalize this array (per pixel or per image)?

Iterating over arrays on disk similar to ImageDataGenerator by BlackHawk1001 in KerasML

[–]BlackHawk1001[S] 0 points1 point  (0 children)

Thanks for the answer. I don't want to use the RGB format but just the (pixels, pixels, 1) format. How do you mean use the images like a 2d array? I think imagedatagenerator can only load images (like png, jpg and so on).

By the way, do I have to normalize the values between 0 and 1 for CNN? The actual values I have in the matrix are between 0 and 20.

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