deshpandenu / Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-

Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
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GAN_implementation #8

Open ahmadfrwati opened 3 years ago

ahmadfrwati commented 3 years ago

Hello all regards to your work in the relation of GAN I am being stuck in error "tape is required when a Tensor loss is passed." in GAN_class any urgent help