All Questions
Tagged with neural-network classification
310
questions
1
vote
1
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24
views
Everything is classified as background by segmentation model
I am training a U-NET model for medical image segmentation. Problem is that the binary masks that im using to train the model mostly consist of background pixels and a very small region of the whole ...
- 61
1
vote
1
answer
34
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Unordered Set Classification Problem
In my setup I have one feature which is a sparse list representing categories. For example, let's say that we have M categories in the interval ...
- 111
0
votes
0
answers
17
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Training the neural network does not give the expected result
I'm trying to create a pytorch neural network capable of recognizing peaks in 2D graphs. Previously, I was able to get a result close to what I wanted, but it was not ideal and did not give a ...
- 1
0
votes
1
answer
29
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Where can I get 5000+ classified images of zoo animals? [closed]
please help! We are college students doing this for a project. The project is using neural networks and want to build a model that takes in an input of a colored image of an animal and outputs the ...
0
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0
answers
139
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Empty Confusion Matrix and Zero Precision/F-score
Could you please say why I'm getting this warning while doing a binary classification using Artificial Neural Networks? The data are colored images.
...
- 101
2
votes
1
answer
150
views
What is the benefit of the exponential function inside softmax?
I know that softmax is:
$$ softmax(x) = \frac{e^{x_i}}{\sum_j^n e^{x_j}}$$
This is an $\mathbb{R}^n \implies \mathbb{R}^n$ function, and the elements of the output add up to 1. I understand that the ...
- 123
0
votes
1
answer
265
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Correlation between multiple time series
For research, we put some test samples through a physical process for a certain period of time and make measurements. The general structure of the data we collect is as follows:
...
0
votes
1
answer
29
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How to fit n features in a number of neurons smaller than n
Suppose I have a feature composed by 784 numbers, and I want to use it as input of a neural network implemented from scratch whose first layer has 64 neurons.
How can I put 784 numbers in 64 neurons?
- 152
0
votes
1
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71
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Understanding correlation - Machine Learning
I am experimenting a project on identifying cancer or not - Binary classification
The dataset has many columns. Here, I added correlation values between few input columns and the target column[cancer/...
- 21
1
vote
1
answer
66
views
Example of a 2D dataset and a classifier stuck at local minimum
We always hear about neural networks getting stuck at local minima, but I cannot visualize one. Can you please give me some examples?
I am not looking for something like below picture and a neural ...
- 111
0
votes
1
answer
85
views
Classification of a noisy data
What method can be used to classify data in the following example?
There is a table (hundreds of strings and hundreds of columns). Several columns in this table uniquely allow you to classify each row:...
- 1
0
votes
0
answers
760
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How can I improve the accuracy of my pytorch neural network for classification of tabular data?
As a newbie in 'pytorch', I am building a neural network for classification of faulty water pumps in Tazania for this competition I am also using ax-platform for ...
user144514
0
votes
1
answer
22
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Is there a procedure for determining if a classification problem is ill-defined?
Consider a group of objects denoted $O = \{o_0, o_1, \cdots\}$ where each object is associated with a feature vector $F = \{f_0, f_1, \cdots\, f_{N-1}\}$. For this case, assume the features are ...
- 123
0
votes
0
answers
54
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Reverse Engineering - Precision and Recall
I am trying to understand Precision and Recall
Formula
Precision = TP/(TP+FP) | Recall = TP/(TP+FN)
The Story
In an input image, there are N birds[Ground Truth],
...
0
votes
1
answer
115
views
Machine learning algorithms for tabular dataset
I have a dataset with 120 features and 5000 instances. The dataset is combination of categorical and numerical values. It is a tabular dataset. My problem is a binary classification problem. I trained ...
- 361