Questions tagged [ann]

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Understand the reason of embedding and the size inside it in Pytorch

I'm very new to pytorch - taking a course in udemy. There is something I find hard to understand and would like to get explaination about, in a bit simpler words than what I can find in the ...
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Near duplicate detection algorithms for a near real time system

I'm looking for near-duplicate detection algorithms or techniques for a near-real-time system with large document volumes. I know LSH is the most popular industry-standard algorithm for syntactical ...
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How to organize data to use a recurrent neural network LSTM?

I am doing an internship in bailiff society. I have to create an IA model which can improve actions to perform, based on existing timeline of actions. I've already tryed some solutions (which did not ...
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Is it possible to implement RNN with dependent and independent variables?

I wanted to implement RNN on a dataset that contains a dependent and multiple independent features. I've used ANN and DT before to do so. However, RNN seems a lot more different and doesnt focus on ...
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X_train, X_test, X_val, y_train, y_test, y_val for regression model with Keras or tensorflow?

How could I randomly split a data matrix and the corresponding label vector into a X_train, X_test, X_val, y_train, y_test, y_val for regression model with Keras or tensorflow..??? I have also added ...
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Some models are over fitting and some are under fitting, please help me where I am doing wrong

I am getting 100% accuracy for the below models. can you please advise me where I am doing wrong? If it is due to overfitting then why other models like below do ...
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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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1 answer
111 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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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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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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2 answers
41 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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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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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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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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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 ...
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