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a new area of Machine Learning research concerned with the technologies used for learning hierarchical representations of data, mainly done with deep neural networks (i.e. networks with two or more hidden layers), but also with some sort of Probabilistic Graphical Models.

2 votes

Deep Learning to estimate what is beyond the edge

There are quite a few papers on predicting the next image in a set of video sequences. So I would familiarize yourself with those first. With that being said it is definitely possible to do this sor …
hisairnessag3's user avatar
1 vote
0 answers
2k views

Actor-Critic in Discrete action spaces

I am following this tutorial and am trying to use it for another OpenAI Gym environment (MountainCar-v0). This environment has a discrete action space instead of a box one. By this I mean if you were …
hisairnessag3's user avatar
1 vote
1 answer
479 views

Using DONUT algorithm with keras

I am trying to get this repo of Xu's DONUT algorithm running, however I am getting an error I do not quite understand. The readme says I should load raw_data as follows: timestamp, values, labels = . …
hisairnessag3's user avatar
3 votes
0 answers
1k views

TypeError: unsupported operand type(s) for %: 'int' and 'NoneType'(Stateful LSTM Keras)

So I have a trained LSTM model with which I am trying to predict future values. The model is stateful as seen below model = Sequential() model.add(GRU(units=50,batch_size=1, input_shape=(None, 1),sta …
hisairnessag3's user avatar