پروژه پایتون* ( 64667 )
دو سال پیش منتشر شده
تعداد بازدید: 102
کد پروژه: 449696
شرح پروژه
سلام
توضیحات در ویس
زمان: 4 ماه
data science and AI
Generative models represent a fascinating group of methods that can generate new samples (such as images) with similar properties to the data used to train the generative model. The models have also been used to perform generative forecasts, such as the next frames of a video or the weather for the next hours. However making these methods perform well in such cases is challenging. In this project, we will explore the potential of using simpler models to learn the temporal properties, and only use generative models to learn the spatial dependencies. The temporal properties can for example be learned using time series models such as ARMA models. We will further expect complex spatial patterns in the forecasting errors from these models, and we suggest to learn these patterns using generative models. The suggested model can further be compared against generative models learned on the data from scratch.
4304
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مهارت ها و تخصص های مورد نیاز
مهلت برای انجام
120روز
وضعیت مناقصه
بسته
درباره کارفرما
عضویت سیزده سال پیش
