Questions tagged [ann]
The ann tag has no usage guidance.
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Why the test accuracy showing some odd behaviour in comparison to train accuracy?
I am currently training an ANN using Sequential(a class from Keras API within tensorflow), and I am optimizing the model's architecture and came across something I have not seen before.
The graph of ...
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how do I label my images for computer vision
So I want to do shape recognition task on a flowchart using CNN, but my input images are not labeled and I don't know how to do that automaticaly I mean not manually, anyone can help me please ?
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Mean Square Error not decreasing during gradient descent
I am currently writing a program which is supposed to implement gradient descent to train a prediction model. I am encountering an error whereby my MSE continuously increases, and the network never ...
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model.evaluate gives low results?
i have an image dataset and there are 6300 images with 5 classes . The features extracted and dataset reduced to 256 features. This dataset gives good results(%99) when tested ANN with Backpropagation(...
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Can I use faiss as retrieve on recommendation system?
I'm planning on using faiss to generate candidates and then lightgbm to rank the candidates.
I think about using E-commerce data, as most of the examples I see using faiss are textual data.
Is using ...
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ANN regressor with multiple outputs in place of single data output
I built an ANN model(Keras) to handle a regression problem with one output. By mistake I filled 10 units at the output layer (instead of 1). To my surprise, there was no error. Later on this was ...
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ANN regression on percentage (continuous count) values
in 'classical statistics' I would possibly use a glm (family = negative binomial) for a regression with tabular data (x = count values, categorial values etc.) on percentage values as output (y).
This ...
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Does derivative of an activation function refer to process of back-propogation in ANN?
I am confused that in ANN, we use Gradient Descent to find the curve of the optimal points of predicted values.
Let's say we use MSE (Mean Squared Error) and the lost function is 1/2m * (y-y')^2
And ...
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Image recognition model with CNN for face gestures is really bad
I have a dataset that contains facial expressions and their label, and I am trying to make a classification model for it. Unfortunatly, I can't manage to create a good model with CNN, as the highest ...
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How to Improve MLP ANN accuracy
I am trying to improve the accuracy of my model over the UCI Breast Cancer Dataset. There's 426 records, and it is a binary classification model.
...
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Encoding Colour Output for a Sequential Neural Network
I’m fairly new to deep learning and AI and my first proper project consists of a model taking 13 or so inputs and one colour output.
Currently, I’ve got 3 outputs (RGB) but I was wondering if I’d be ...
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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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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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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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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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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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