Questions tagged [ann]

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Combine multiple vector fields for approximate nearest neighbor search

I have multiple vector fields in one collection. My use-case is to find similar sentences in similar contexts. The sentences and contexts are encoded to float vectors. Therefore, I have one vector for ...
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0answers
13 views

"Saliency map" of perceptron?

I am using keras currently, and I want to see which inputs the model is "looking at". It would be like a saliency map, but my model is a simple two-layered perceptron for classification, so ...
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1answer
100 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
19 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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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
39 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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1answer
50 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
39 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
28 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 ...