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hH1sG0n3
  • Member for 1 year, 11 months
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43 votes

Why is it wrong to train and test a model on the same dataset?

16 votes

Difference between LSTM cell state and hidden state

10 votes

What is an autoencoder?

5 votes

Binary classification and numerical labels

4 votes
Accepted

Which learning rate should I choose?

4 votes

What is the difference between a "cell" and a "layer" within neural networks?

3 votes

Making sense of loss and accuracy curves

3 votes

Pearson correlation with data sets that have values on different scales

3 votes

How to choose the right threshold for binary classification?

2 votes

Determining which deep learning model architecture is better

2 votes
Accepted

how to link the predicted output to the original observation?

2 votes

Explainable AI solutions and packages in Python

2 votes
Accepted

LSTM for Stock Return Prediction

2 votes

Which statistical test should I use to show significance in favour of a system?

2 votes

How modelling is affected by similar feature distributions across classes?

2 votes

Untrained Network Giving 80% Accuracy

2 votes
Accepted

Avoiding Overfitting with a large LSTM net on a small amount of data

1 vote

Structure of NN for input data with drop out

1 vote
Accepted

Build Deep Belief Autoencoder for Dimensionality Reduction

1 vote

How can I picture an unfolded RNN as a normal Feed Forward Network?

1 vote

What is the best way to visualize range of data?

1 vote
Accepted

Estimate correlation in Python

1 vote
Accepted

Understanding of number of cells in layers of sequential models

1 vote

How can a neural network get unstuck from a local minimum?

1 vote

How to interpret this Plot of Model Loss from a BiLSTM model?

1 vote
Accepted

Cause of periodic jumps in loss function

1 vote
Accepted

How to deal with nan values after merging / joining two dataframes?

1 vote
Accepted

Neural network linearity and non linearity

1 vote

Can we use prior information to improve the results of a neural network? If so, how do we incorporate it into the learning process?

1 vote
Accepted

In Transformer's multi-headed attention, how attending "different representation subspaces at different positions" is achieved?