For questions related to data visualization techniques in the context of artificial intelligence.
Questions tagged [data-visualization]
8 questions
6
votes
2 answers
Neural network for data visualization
At my work, we're currently doing some research into data visualisation for highly interconnected data, basically graphs.
We've been implementing all sorts of different layouts and trying to see which fits best, but, due to the nature of the problem…
tiansivive
- 171
- 1
6
votes
1 answer
How to graphically represent a RNN architecture implemented in Keras?
I'm trying to create a simple blogpost on RNNs, that should give a better insight into how they work in Keras. Let's say:
model = keras.models.Sequential()
model.add(keras.layers.SimpleRNN(5, return_sequences=True, input_shape=[None,…
Mindaugas Bernatavičius
- 161
- 3
3
votes
1 answer
How do AI researchers imagine higher dimensions?
We can visualize single, two, and three dimensions using websites or imagination.
In the context of AI and, in particular, machine learning, AI researchers often have to deal with multi-dimensional random vectors.
Suppose if we consider a dataset of…
hanugm
- 3,571
- 3
- 18
- 50
2
votes
1 answer
Do researchers generally treat tensors just as mathematical objects with certain shape?
Most of the practical research in AI that includes neural networks deals with higher dimensional tensors. It is easy to imagine tensors up to three dimensions.
When I ask the question How do researchers imagine vector space? on Mathematics Stack…
hanugm
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1
vote
2 answers
How do I plot a matrix of ratings?
I have a .csv file called ratings.csv with the following structure:
userID, movieID, rating
3, 12, 5
2, 7, 6
The rating scale goes from 0 to 5 stars. I want to be able to plot the sparsity of the matrix like it's done in the…
NaveganTeX
- 155
- 7
0
votes
1 answer
Best way to generate fitness landscape when using higher dimensional data
I'm using a GA to find the best set of parameters to maximize a fitness function. I want to draw a fitness landscape to visualize the effectiveness of the algorithm. The fitness function, calculated using a DNN, has 8 input variables. The landscape…
program1232123
- 11
- 2
0
votes
0 answers
Do deep learning researchers generally visualize intermediate steps?
Many researchers in deep learning research come up with new CNN architectures.
The architectures are (just) combinations of a few existing layers.
Along with their mathematical intuition, in general, do they visualize intermediate steps by execution…
hanugm
- 3,571
- 3
- 18
- 50
0
votes
0 answers
Visualizing encoder-attention after ResNet in terms of ResNet input
I have a transform-encoder only architecture, which has the following structure:
Input
|
v
ResNet(-50)
|
v
fully-connected (on embedding dimension)
|
v
positional-encoding
|
…
John Sig
- 101
- 1