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I implemented a self-critical policy gradient (as described here), for text summarization. However, after training, the results are not as high as expected (actually lower than...
Asked on 11/28/2020 by Astariul
1 answerI'm using a neural network in a genetic algorithm. The neural network has 4 inputs (values between 0 and 1) and 4 outputs, corresponding to the probabilities of different actions....
Asked on 11/28/2020 by yoshi8585
1 answerI built a regression model using Keras. The following parms were used:model.compile(loss=custom_mse, optimizer=RMSprop(0.0001), metrics=mae)history = model.fit(x=x_train, y=y_train, validation_data=(x_valid, y_valid), epochs=100, batch_size=16, verbose=2)And here the funcs for the loss and...
Asked on 11/28/2020 by asendjasni
0 answerI have trained a model with 5 features. While training, I had no missing values, and the models were perfectly trained. However, when I'm using this model to draw inferences,...
Asked on 11/28/2020 by Cal.Naughton
0 answerI am looking to solve a multi-class classification problem with long sequences of text with some rows having 1000's of tokens. Some of the state of the art methods such...
Asked on 11/27/2020 by breads_dead
1 answerI am trying to generate a complex Gaussian white noise, with zero mean and the covariance matrix of them is going to be a specific matrix which is assumed to...
Asked on 11/27/2020 by gurluk
1 answerI have time series data for every single day from last 5 years with seasonal variation and a general increase in trend. This is what my data looks like: ...
Asked on 11/27/2020 by Hamza
1 answerI'm using the implementation of PPO2 in stable-baselines (a fork of OpenAI's baselines) for a RL-problem. My observation space is 9x9x191 and my action space is 144. Given a state,...
Asked on 11/27/2020 by Max Fischer
1 answerI have two vector-space models, with different dimensions. The number of vectors in one model is the same as the number of vectors in the other. I.E: if I...
Asked on 11/27/2020 by SFD
1 answerI just want to know the details of what (and how) is the criteria used by sklearn.tree.DecisionTreeClassifier to create leaf nodes. I know that the parameters criterion{“gini”, “entropy”}, default=”gini” and...
Asked on 11/27/2020
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