…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…
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…
…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.