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)))…

Pretrained Models for Keyword-Based Text Generation

I’m looking for an implementation that allows me to generate text based on a pre-trained model (e.g. GPT-2). An example would be gpt-2-keyword-generation (click here for demo). As the author notes, there is […] no explicit mathematical/theoetical basis behind the keywords aside from the typical debiasing of the text […] Hence my question: Are there…

Matlab neural network running faster on my laptop than on my university’s supercomputer

I am trying to get my neural network running on my university’s supercomputer in order to decrease its runtime (not for training, for testing – feedforward runs only). However the Matlab function I am using to run my network (semanticseg) is running more slowly on one of the supercomputer’s nVidia Volta V100 GPU’s than on…