All Questions
Tagged with dataneural-network
34 questions
0votes
0answers
10views
How to Represent Structured Inputs in a Neural Network for Multi-Entity Prediction?
I'm building a neural network model to predict which student in a class will achieve the highest score on an upcoming exam (this is not the actual task, I actually modified the task to maintain ...
- 11
2votes
0answers
38views
LSTM produces a straight line for predictionsout of range data
I have this problem: I am trying to predict daily temperatures. I have data of 30 years, and I am using this neural network: ...
1vote
0answers
46views
ML. How to make a neural network remember the context and data?
I want the neural network to be able to remember, but a perceptron can only remember something during training, but I want the neural network to adapt to new conditions without retraining, for example,...
1vote
0answers
33views
Determining the start and stop of vehicle movement by GPS
There is a large fleet, slightly more than a million vehicles, which is constantly growing. Each vehicle sends GPS coordinates to the server, as well as events (ignition is on, door is open, parking ...
1vote
2answers
70views
Tips for scraping crypto data in the right way
I am scraping data from crypto site and want to use neural network algorithm for predicting data. the way i save data is like these: and there is bunch of other features like open/high/low/close for ...
0votes
1answer
267views
Low-dimensional binary classification datasets
If one would like to study aspects of neural networks (say, in an academic paper), and would like to experiment on binary classification of vectors in low-dimensional space (say dim=2 or dim<6); ...
0votes
0answers
132views
Why my neural network model is not able to learn a simple linear function?
I'm trying, using a neural network, to predict a simple relation $ f(x) = 1-x $. I write my function this way: $f(x) = 1 - x^{+} + (-x)^{+} $ or in a more data-scientistic way: $f(x)= 1-Relu(x)+Relu(-...
1vote
0answers
460views
Averaging multiple train-test splits to estimate the performance with higher variability?
I have a small size data set and I want to assess the effect of a certain type of cases on the overall model performance. For example, is the model biased against people of a certain age group? Using ...
2votes
3answers
741views
What is exactly the difference between Validation data and Testing data
I asked this question on stack overflow and was told that this is a better place for it. I am confused with the terms validation and testing, is validating the model same as testing it? is it possible ...
- 33
1vote
0answers
36views
Should I reshuffle the training set when benchmarking neural networks?
I'm trying to set up a fair benchmarking between various RNN models, where each of them is trained until convergence with a fixed random seed. Because the task is very costly, I am only able to run ...
- 111
0votes
1answer
52views
Does the abstraction of a class affects the performance of neural networks?
For example, if I have 3 audio classes including Ambulance Siren Police Car Siren Firetruck Siren assuming these 3 classes could be distinguished by humans. If I just want the model to classify all ...
0votes
0answers
657views
Tensorflow - I don't get the right shapes - `ValueError: Shapes (9, 1) and (8, 9) are incompatible`
I want to train a Sequential Neural Net (NN) with Tensorflow. ...
3votes
0answers
865views
What exactly negative/positive value of Captum's Integrated Gradient mean?
I use Captum's Integrated Gradient to interprete my PyTorch's neural network. I know that from github and original paper mentioned that ... Positive attribution score means that the input in that ...
- 31
35votes
10answers
18kviews
Why is it wrong to train and test a model on the same dataset?
What are the pitfalls of doing so and why is it a bad practice? Is it possible that the model starts to learn the images "by heart" instead of understanding the underlying logic?
- 461
-1votes
1answer
76views
What algorithm should I use to get a mapping between two variables? [closed]
I have a dataset that contains for every row, a list X of x items, that is a subset of X_total, and a list Y of y items, that is a subset of Y_total. ...
