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lineojcd / UZH-Deep-Learning-in-Marketing

UZH Deep Learning in Marketing 2020 Spring Course Project
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Ideas for improving the model #1

Open mmeierer opened 4 years ago

mmeierer commented 4 years ago

This blog post might give you some additional hints how to improve parts of the model: https://towardsdatascience.com/how-to-get-beautiful-results-with-neural-style-transfer-75d0c05d6489

Accompanying GitHub can be found here: https://github.com/EugenHotaj/nn-hallucinations

mmeierer commented 4 years ago

Here is another thing to try:

One concrete example of this issue are Deformable Convolutions, which seem to improve the performance of most Convolutional Neural Networks (CNNs). An open source implementation appeared about 2 years ago. Nevertheless, the implementation was cumbersome to integrate into PyTorch/TensorFlow and the algorithm didn’t gain widespread use. Only just recently has PyTorch added support for it, and as of yet I am not aware of there being an official TensorFlow version.

Source: https://tryolabs.com/blog/2020/04/02/swift-googles-bet-on-differentiable-programming/

mmeierer commented 4 years ago

And other way to improve DL models (here BERT), which might also be applicable to GAN:

https://threadreaderapp.com/thread/1247998807494684672.html

--> Train long and focus on regularization/data augmentation.