### Generation of realistic real-valued sequences using Wasserstein GAN fails

My goal is to generate artificial sequences of real-valued data (e.g. time series) with GANs. Starting simple I tried to generate realistic sine-waves using a Wasserstein GAN. But even on this simple task it fails to generate any useful samples. This is my model: Generator model = Sequential() model.add(LSTM(20, input_shape=(50, 1))) model.add(Dense(40, activation=’linear’)) model.add(Reshape((40, 1)))…