Topic recognition #440
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Topic recognition #440
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report/assignment.
… the size of latent space
…tent space size, adjusted epochs and implemented plotting of training losses and of the latent space for test images.
…ng to train new models, copied an open-source PixelCNN implementation - yet to optimise or adjust
…ll input sizes, however cannot be trained on the full train set
…ision. Trained PixelCNN, but sampling is unimplemented
…, implemented sampling of priors
…ing hyperparameters.
…ments to code structure made.
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This is an initial inspection, no action is required at this point
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Good Practice (Design/Commenting, TF/Torch Usage)Adequate use and implementation Recognition ProblemSolves problem (poor generations) -1 Commit LogMeaningful commit messages DocumentationReadMe acceptable/good Pull RequestSuccessful Pull Request (Working Algorithm Delivered on Time in Correct Branch) |
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Keras implementation of the VQ-VAE algorithm, using a PixelCNN to provide generative capacity. Trained to operate on the OASIS dataset, with SSIM of approx. 0.9 for all tested images.