Variational Autoencoders (VAEs) are an artificial neural network architecture to generate new data. They are similar to regular autoencoders, which consist of an encoder and decoder. The encoder takes ...

Improve model performance and training stability using multilayer perceptrons (MLPs) and applying normalization techniques. Implement autoencoders for unsupervised feature learning and design ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...