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Gunho Sohn
Gunho Sohn

Gunho Sohn

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From Instance Embedding: Segmentation Without Proposals by Bar Vinograd

…the images are the first 7 channels of 64 of embedding space. It is evident from the embedding that the network learned channels that spatially differentiate the nuclei. Example for diagonal or horizontal coding. Some encode the distance from center of the image. Howev…

From Neural Network Embeddings Explained by Will Koehrsen

The network I used has two parallel embedding layers that map the book and wikilink to separate 50-dimensional vectors and a dot product layer that combines the embeddings into a single number for a prediction. The embeddings are the parameters, or weights, of the network that are adjusted during training to m…

From Neural Network Embeddings Explained by Will Koehrsen

…s Google Colab Notebook). Words in the vocabulary that are associated with positive reviews such as “brilliant” or “excellent” will come out closer in the embedding space because the network has learned these are both associated with positive reviews.

Claps from Gunho Sohn

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Biomedical Image Segmentation: Attention U-Net

Hong Jing (Jingles)

Do Deep Neural Networks ‘See’ Faces Like Brains Do?

Synced

GAN — Why it is so hard to train Generative Adversarial Networks!

Jonathan Hui