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amin
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2 votes
Accepted

Can you use machine learning for data with binary outcomes?

1 vote

Appropriate convolutional neural network architecture when the input consists of two distinct signals

1 vote

Which NN would you choose to estimate a continuous function $f:\mathbb R^2 \rightarrow \mathbb R$?

0 votes
Accepted

In CNNs, why do we sum the filter derivatives w.r.t the loss function to get the final gradient?

1 vote

Why does the accuracy drop while the loss decrease, as the number of epochs increases?

2 votes

How does vanish gradient restrict RNN to not work for long range dependencies?

6 votes
Accepted

Smallest possible network to approximate the $sin$ function

0 votes

Should I use additional empty category in some categorical problems?

1 vote

How does back-propagation through time work for optimizing the weights of a bidirectional RNN?