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For questions about artificial networks, such as MLPs, CNNs, RNNs, LSTM, and GRU networks, their variants or any other AI system components that qualify as a neural networks in that they are, in part, inspired by biological neural networks.

1 vote
0 answers
305 views

Learning algorithm that filters keyboard clicking in audio feeds

When recording audio for screencasts or similar, very often the keyboard is clearly visible and can start to annoy listeners after a while. NN are quiet good at recognizing patterns. Image classific …
pascalwhoop's user avatar
3 votes
1 answer
100 views

What are good action outputs for reinforcement learning agents acting in a trading environment?

I am trying to build an agent that trades commodities in a exchange setting. What are good ways to map the action output to real world actions? If the last layer is a tanh activation function, outputs …
pascalwhoop's user avatar
1 vote
0 answers
279 views

Training RL agent on timeseries trading data with Continous Deep Q or NAF

I am writing an MDP based agent that is supposed to learn to place bids and asks in a trading environment. The system requests 2 values (mWh energy and $, both being positive or negative). Every time …
pascalwhoop's user avatar
11 votes
3 answers
2k views

What size of neural networks can be trained on current consumer grade GPUs? (1060,1070,1080)

Is it possible to give a rule of thumb estimate about the size of neural networks that are trainable on common consumer-grade GPUs? For example, the Emergence of Locomotion (Reinforcement) paper train …
pascalwhoop's user avatar
3 votes
1 answer
194 views

Why are neural networks always trained "by themselves"?

In the current rush of artificial intelligence research, fueled by NN, independent of the paper I choose, the NN are always trained by themselves. Sure, there are architectures that combine CNN and RN …
pascalwhoop's user avatar