Questions tagged [ann]

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Purpose of ANN (Artificial Neural Network) [closed]

If CNN(Convolutional Neural Network) is for Computer Vision and RNN(Recurrent Neural Network) for Natural Language Processing, what is the goal for ANN(Artificial Neural Network)?
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1answer
93 views

Understanding outputs from ANN and how to improve validation loss

I apologise if this is a bit long winded, but it was suggested by another user that I post. I will start by saying that I am very new to the world of machine learning and deep learning. As such, the ...
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1answer
13 views

MLP sequential fitting

I am fitting a Keras model, using SGD Input dataset X_train has 55000 entries. Can anyone explain the yellow highlighted values? For me, when each epoch is done, this should correspond to 55000/55000....
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6 views

Encoding Data and huge loss during ANN training

I just started to learn on ANN and tried to experiment on my own on a Linear Regression. I got a dataset which had housing prices for a city. Tried going through this but my model gives me a huge loss....
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16 views

Multiple input single output supervised learning ANN problem

I have a dataset of 120 tuples giving a singular output. I want to implement ANN in estimating the input which is affecting the output most. A case of optimising the input to maximise the output. ANN ...
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21 views

Why is everybody using `mobilenetv2` for mask detection?

I was looking for good pre-trained models to be used for mask detection and I found resnet50 and mobilenetv2 (lots of times). ...
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16 views

Create a pipeline for recursive eliminartion using artifical neural nets

I am trying to use RFE with Artificial neural nets but I am getting the error that "'Sequential' object has no attribute '_get_tags'" . Here is my code snippet. Any help would be appreciated....
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2answers
30 views

How can ANN handle varied sized inputs?

I have a dataset with a message (string) and an associated mood. I am trying to use an ANN to predict one of the 6 moods using the encoded inputs. This is how my X_train looks like: ...
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0answers
202 views

About finding pre-trained faceswap model for converting the Lionel Messi to baby face

I am a newbie in deepfake field, but I am trying to use faceswap to build one video of deepfake for converting Lionel Messi face to a baby face. So I tried faceswap it in colab to do this by this ...
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0answers
19 views

What is the best machine learning method for determine shock in time series?

I'm familiar with the Auto Vector Autorgressive (VAR) models. As you know, these models are widely used in determining shocks in time series. Also, machine learning methods have become very popular ...
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1answer
42 views

How to properly train your Self-Organized Map?

I recently stumbled upon the Self-Organized Map - an ANN architecture used to cluster high dimensional data - while simultaneously imposing a neighborhood structure on it. It is trained through a ...
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1answer
30 views

ANN Classifier for extracted discrete image features

I have a features extraction algorithm that works well to extract features from images. I want to develop an ANN to classify those images based on those features. I have extracted features in a csv ...
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1answer
23 views

In neural networks model, which number of hidden units to select?

In the neural networks model, how many numbers of hidden units need to keep to get an optimal result, as per Cybenko theorem which demonstrates that only one hidden layer is sufficient to solve any ...
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0answers
68 views

ANN return many result differents

I made an application that uses neural networks, its function is to classify the type of user that is, it can be legitimate or intrusive, the data was saved in the database, when I give it in the ...