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I would like to build an open source Traffic Signs Dataset solely for research purposes

I've been interested lately in doing research about different neural networks and how to contribute to Autonomous Vehicles, I used a couple of images to train a model and the results were different ...
Amy's user avatar
  • 1
2 votes
0 answers
21 views

Transfer Learning for NER

Does anyone have experience with fine-tuning an NER model on out-of-domain data? Did the fine-tuning succeed, and approximately how much data was needed? To clarify, e.g., starting with a NER model to ...
hjerp's user avatar
  • 41
1 vote
0 answers
56 views

A small free dataset for 3D reconstruction from 2D images

I am trying to start coding on 3D image reconstruction from 2D images (so to map images to a 3D point cloud). Can any one please introduce a small free dataset to start with? I know BlendedMVS. But ...
Ali.A's user avatar
  • 149
0 votes
0 answers
69 views

How weight vector behave when we initialize the weight to 0 in case of perceptron

While reading in book i encountered this statement Now, the reason we don't initialize the weights to zero is that the learning rate (eta) only has an effect on the classification outcome if the ...
Vipin Dubey's user avatar
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0 answers
17 views

Impact of Adding Imbalanced Data on Model Performance for Different Groups

Suppose I initially have a dataset with 50 samples of type A and 50 samples of type B, each with several features. I built a neural network model using this data and recorded the prediction accuracy ...
Mickly's user avatar
  • 1
1 vote
0 answers
45 views

Class imbalance for binary classification tasks

I am looking to train a binary classifier. Most of my experience so far has been with generative models, not classifiers, so I am wondering with respect to training data, what is a good ratio of 0 and ...
pigeon's user avatar
  • 21
0 votes
1 answer
88 views

How to create a multi label text classification model for small dataset in production [closed]

I have a multi-label text classification dataset which is very small around 80Kb, I am only going to receive a small amount of data for training from my client. But it is expected to build a high ...
Aayesha Qureshi's user avatar
0 votes
1 answer
54 views

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
1 vote
0 answers
33 views

Determining the start and stop of vehicle movement by GPS

There is a large fleet, slightly more than a million vehicles, which is constantly growing. Each vehicle sends GPS coordinates to the server, as well as events (ignition is on, door is open, parking ...
Abraham Lincoln's user avatar
0 votes
1 answer
226 views

different range of target values in neural network

I am working on a neural network regression code. The dataset includes 14 features in the range value between -1 and 1. while the target variable is changing among (0.000759) to (1100). The target ...
Mali's user avatar
  • 1
1 vote
2 answers
70 views

Tips for scraping crypto data in the right way

I am scraping data from crypto site and want to use neural network algorithm for predicting data. the way i save data is like these: and there is bunch of other features like open/high/low/close for ...
mohammad ariyan rad's user avatar
0 votes
1 answer
267 views

Low-dimensional binary classification datasets

If one would like to study aspects of neural networks (say, in an academic paper), and would like to experiment on binary classification of vectors in low-dimensional space (say dim=2 or dim<6); ...
Sasha's user avatar
  • 1
0 votes
2 answers
53 views

Difficulty loading data/running model on custom dataset derrived from DNA sequence data - TypeError when attempting to run model

I am a student who has some limited experience with keras, and for a new project recently decided to learn how to use pytorch to implement my models. I'm a beginner with both, so apologies in advance ...
Moss_and_Bones's user avatar
0 votes
0 answers
132 views

Why my neural network model is not able to learn a simple linear function?

I'm trying, using a neural network, to predict a simple relation $ f(x) = 1-x $. I write my function this way: $f(x) = 1 - x^{+} + (-x)^{+} $ or in a more data-scientistic way: $f(x)= 1-Relu(x)+Relu(-...
StochasticMan's user avatar
2 votes
1 answer
52 views

All classification models except neural network giving 100% accuracy

I have a dataset of size (140,000, 10) containing 1 dependent variable. I used MinMax scaler on independent variables. For the target value, there is a class imbalance of 94% 0's and 6% 1's. Used ...
kanha's user avatar
  • 23

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