We will visualize the style transfer output produced by monet_generator_model. We take 5 sample images that are photos of beautiful landscapes in the original dataset and feed them to the model.
generator image-processing discriminator plotting-functions downsampling-data cycle-gan image-style-transfer neural-network-visualizations upsampling-and-denoising cycle-consistency-loss monet-paintings mathematical-operations monet-generator cycle-gan-architecture training-deep-learning-models downsampling-block
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Updated
Mar 8, 2024 - Jupyter Notebook