Unanswered Questions
726 questions with no upvoted or accepted answers
9
votes
3
answers
381
views
How to classify human actions?
I'm quite new to machine learning (I followed the Coursera course of Andrew Ng and now starting deeplearning.ai courses).
I want to classify human actions real-time like:
Left-arm bended
Arm above ...
CommunityBot
- 1
8
votes
1
answer
259
views
What is the impact of using multiple BMUs for self-organizing maps?
Here's a sort of a conceptual question. I was implementing a SOM algorithm to better understand its variations and parameters. I got curious about one bit: the BMU (best matching unit == the neuron ...
CommunityBot
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7
votes
1
answer
215
views
It is possible to use deep learning to give approximate solutions to NP-hard graph theory problems?
It is possible to use deep learning to give approximate solutions to NP-hard graph theory problems?
If we take, for example, the travelling salesman problem (or the dominating set problem). Let's say ...
CommunityBot
- 1
7
votes
1
answer
227
views
How does the network know which objects to track in the paper "Label-Free Supervision of Neural Networks with Physics and Domain Knowledge"?
I was reading the paper Label-Free Supervision of Neural Networks with Physics and Domain Knowledge, published at AAAI 2017, which won the best paper award.
I understand the math and it makes sense. ...
CommunityBot
- 1
6
votes
0
answers
291
views
How do big companies, like Facebook, model individuals and their interaction?
As a layman in AI, I want to get an idea of how big data players, like Facebook, model individuals (of which they have so many data).
There are two scenarios I can imagine:
Neural networks build ...
CommunityBot
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5
votes
0
answers
84
views
When is using weight regularization bad?
Regularization of weights (e.g. L1 or L2) keeps them small and standardized, which can help reduce data overfitting. From this article, regularization sounds favorable in many cases, but is it always ...
- 43.6k
5
votes
0
answers
324
views
Has the logistic map ever been used as an activation function?
I find the logistic map absolutely fascinating. Both in itself (because I love fractal) and because it is observed in nature (see: https://www.youtube.com/watch?v=ovJcsL7vyrk).
I'm wondering if anyone ...
- 43.6k
5
votes
1
answer
278
views
Is batch learning with gradient descent equivalent to "rehearsal" in incremental learning?
I am learning about incremental learning and read that rehearsal learning is retraining with old data. In essence, isn't this the exact same thing as batch learning (with stochastic gradient descent)? ...
CommunityBot
- 1
5
votes
0
answers
137
views
Feasibility of using machine learning to obtain self-consistent solutions
I am a physicist and I don't have much background on machine learning or deep learning except taking a couple of courses on statistics. In physics, we often simulate a model by means of two-way ...
- 43.6k
5
votes
1
answer
695
views
What are the differences between Bytenet and Wavenet?
I recently read Bytenet and Wavenet and I was curious why the first model is not as popular as the second. From my understanding, Bytenet can be seen as a seq2seq model where the encoder and the ...
CommunityBot
- 1
5
votes
1
answer
792
views
How to detect multiple playing cards of the same class with a neural network?
I want to train an AI to detect the class (i.e. suit and rank) of playing cards. Playing cards from different decks may use slightly different shapes or colors to represent these attributes, and I ...
CommunityBot
- 1
5
votes
1
answer
2k
views
Which other loss functions for hierarchical multi-label classification could I use?
I am looking to try different loss functions for a hierarchical multi-label classification problem. So far, I have been training different models or submodels like multilayer perceptron (MLP) branch ...
CommunityBot
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4
votes
0
answers
327
views
how do you train a neural network to determine shortest path in a 4-node graph
Suppose I have the following graph:
...
- 1
4
votes
1
answer
287
views
How does one represent input vectors to a neural network in matrix notation?
I'm finding myself confused every time I want to visualize a neural network with input vectors and weights. Let’s say I have an input like this:
Input 1
Input 2
Input 3
Output
1
2
3
1
3
4
6
0
6
8
1
1
...
CommunityBot
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4
votes
0
answers
93
views
Why does a neural network struggle to solve this simple problem?
Consider the following problem:
Given a vector x of size dim with values between 0 and 1 (exclusive), determine if ...
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