All Questions
18 questions with no upvoted or accepted answers
3
votes
0
answers
41
views
How to predict an event (or action) based on a window of time-series measurements?
I have an input vector $X$, which contains a series of measurements within a period, e.g. 100 measurements in 1 sec. The goal is to predict an event, let's say, moving forward, backward or static.
I ...
- 31
3
votes
0
answers
59
views
Ideas on a network that can translate image differences into motor commands?
I'd like to design a network that gets two images (an image under construction, and an ideal image), and has to come up with an action vector for a simple motor command which would augment the image ...
- 275
2
votes
0
answers
22
views
How do CNNs or RNNs "stack the feature of nodes by a specific order"?
I am trying to understand the following statement taken from the paper Graph Neural Networks: A Review of Methods and Applications (2019).
Standard neural networks like CNNs and RNNs cannot handle ...
- 277
2
votes
0
answers
50
views
Recommendations on which architecture to use to guess appointment
I'm currently developping an application which allows psychologists to manage their schedule and budget. As a proof of concept, I would like to create an intelligent appointment service. There can be ...
- 131
1
vote
1
answer
72
views
Is image machine translation done in two steps?
Suppose I have images of hand-written Japanese text. If I want to translate those images, would my ML algorithm be a 2-step model (for example, a CNN to convert the image into Japanese characters/...
- 41
1
vote
0
answers
325
views
How do I infer exploding or vanishing gradients in Keras?
It may already be obvious that I am just a practitioner and just a beginner to Deep Learning. I am still figuring out lots of "WHY"s and "HOW"s of DL.
So, for example, if I train a ...
1
vote
0
answers
47
views
How can one be sure that a particular neural network architecture would work?
Traditionally, when working with tabular data, one can be sure(or at least know) that a model works because the included features could explain a target variable, say "Price of a ticket" ...
1
vote
0
answers
38
views
Deep learning techniques with time-fixed, time-dependent and imaging data
I have a question about the use of deep learning techniques with time-fixed features and images (setting 1) and time-dependent features (setting 2). (I am pretty new to the deep learning world so ...
- 11
1
vote
0
answers
34
views
Imposing contraints on sequence of image classifications
Are there example implementations of networks that apply constraints across sequences of image classifications where class labels are ordinal numbers? For example, to cause the output of a CNN to ...
- 11
1
vote
0
answers
25
views
Literature on Sequence Regresssion
I have some rated time-sequential data and I would like to test if an ANN can learn a correlation between my measurements and ratings.
I suspect I could just try a CNN where 1 Dimension is time or an ...
- 153
0
votes
0
answers
65
views
How to train a model to make predictions for larger sequences than those in the dataset?
I'm working on a project where I need my model to predict a sequence of n 3x3 matrices given an input sequence of n 3x3 matrices ...
0
votes
0
answers
26
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Why isn't my CNN-RNN model learning despite the CNN performing well?
I'm working on a model that combines a CNN with an LSTM to process sequences of spectrograms and make per-time-step predictions. The CNN alone performs well on the task, but after adding an LSTM for ...
0
votes
0
answers
70
views
Is my 1D signal using CNN & RNN regression reasonable?
I want to know if my impact-echo signals are proper with CNN or RNN regression model.
I got some simulated signal, as following shows.
In previous research, people mostly consider frequency or even ...
- 1
0
votes
1
answer
94
views
What underlying network is typically meant with ResNET?
When people talk about a ResNet architecture, they are talking about a neural network architecture with skip connections. But what basis network are they typically referring to? Feedforward-networks ...
0
votes
0
answers
35
views
What could be causing the poor performance (MSE) of a dense neural network on a real time-series dataset?
I am trying to understand time series analysis and actually I am following the course "Sequences, Time Series and Prediction" in Coursera. The course is based on a synthetic dataset, ...
- 221
0
votes
0
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51
views
Does it make sense to compare images (samples) with words (features)?
Consider the following paragraphs from the introduction of the chapter named Recurrent Neural Networks from the textbook titled Dive into Deep Learning
So far we encountered two types of data: ...
- 3,990
0
votes
0
answers
95
views
Feeding the output back to input in 3D CNN model
I am currently designing a Model which takes Input 3D Grid and Model Output at $t-1$. The model figure is described below
I have two thoughts in training the model for above situation.
Feed output $...
- 1
-1
votes
0
answers
25
views
Document clustering from ordered pages list
I have a series of ordered pdf pages which own to different documents. Let me give you an example:
Pages: 1 2 3 4 5 6
True Pages: 1 2 | 1 2 3 4
So I have like six ordered pages, two of which from ...
- 1