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www.covingtoninnovations.com | ||
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www.judithvanstegeren.com
[AI summary] A first-year PhD candidate explains their research on using natural language generation to create adaptive training games. |
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values.utdallas.edu
Links to videos from the 2024 VMST-12 conference ("Paul K. Feyerabend: A Centennial Celebration") are posted below. This four-day conference w... |
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www.game.edu.mt
The Institute of Digital Games is the centre for research and education in game design, game analysis, and game technology at the University of Malta. |
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blog.keras.io
[AI summary] The text discusses various types of autoencoders and their applications. It starts with basic autoencoders, then moves to sparse autoencoders, deep autoencoders, and sequence-to-sequence autoencoders. The text also covers variational autoencoders (VAEs), explaining their structure and training process. It includes code examples for each type of autoencoder and mentions the use of tools like TensorBoard for visualization. The VAE section highlights how to generate new data samples and visualize the latent space. The text concludes with references and a note about the potential for further topics. |
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