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0votes
1answer
31views

Sparse Categorical accuracy shown incorrectly

I am trying to replicate a multiclass classification problem of a paper I am reading. So they provided with the exact matrices and bias vector values and have proved in the paper why there will 100% ...
Harambe's user avatar
4votes
1answer
97views

Transformer classifcation network predicting the same class

I have been developing a neural network based on transformers for binary classification. Both classes are balanced (750k observations for both). During training, the loss and metrics become NaN after ...
Fred's user avatar
1vote
0answers
25views

Neural Network Overfitting on Linearly Separable Dataset

Please let me know if this question is not proper to ask here For context, I have a dataset regarding to tiktok user engagement. The predicted variable is binary, either 'claim' or 'opinion'. From ...
cheddar's user avatar
0votes
0answers
16views

My network to classify dialects is not working

I have written the following code to classify dialects based on the timit dataset using .wav files. For some reason my model is not learning and classifies everything into the same class. Is it ...
Paul Tatasciore's user avatar
1vote
1answer
65views

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 ...
Ashwin Singh's user avatar
1vote
1answer
52views

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 ...
dpalma's user avatar
0votes
1answer
54views

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 ...
user90061's user avatar
0votes
0answers
265views

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. ...
Totoro's user avatar
2votes
1answer
220views

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 ...
Victor2748's user avatar
0votes
2answers
556views

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: ...
saracoglumert's user avatar
0votes
1answer
33views

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?
Iya Lee's user avatar
0votes
1answer
85views

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/...
Vishak Raj's user avatar
1vote
1answer
84views

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 ...
ThePortakal's user avatar
0votes
1answer
125views

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:...
Mic's user avatar
0votes
0answers
929views

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 ...
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