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