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ANN to SNN Conversion Problem

I am attempting an ANN to SNN conversion for an input dataset that is float32 and has a range of [-4, 4]. Training the ANN is straightforward, I used a small network of 7 input neurons, 7 hidden layer ...
Cooltafel's user avatar
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How to explain my standard error of my ANN prediction

I have a question on how to satisfactorily explain the standard error of my ANN model. For background, I have an ANN model that predicts protein post translational modifications based on their GC-MS ...
hypermiler3's user avatar
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Multiple kernel SVM is equal to one ANN - Is Kernel SVM better that one ANN?

I'm comparing multiple Kernel SVM with one neural network, e.g one ANN with one hidden layer. I have succesfully trained a neural network by using multiple Kernel ...
euraad's user avatar
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2 votes
1 answer
132 views

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 ...
Aach_copro's user avatar
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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 ?
kardev's user avatar
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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 ...
Zaheer 's user avatar
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1 answer
32 views

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(...
ömer özcan's user avatar
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42 views

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 ...
Marcos Mota's user avatar
1 vote
1 answer
110 views

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 ...
Mystheman's user avatar
1 vote
1 answer
94 views

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. ...
No_Name's user avatar
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1 answer
28 views

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 ...
Joseph Marriage's user avatar
1 vote
1 answer
71 views

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 ...
Reut's user avatar
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1 vote
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52 views

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 ...
Murali Mopuru's user avatar
1 vote
0 answers
24 views

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 ...
Deep's user avatar
  • 11
1 vote
1 answer
194 views

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 ...
roemchine's user avatar
1 vote
1 answer
193 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 ...
Dean's user avatar
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1 vote
1 answer
49 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....
sidhom slim's user avatar
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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....
Kanan H Patel's user avatar
1 vote
2 answers
55 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: ...
ChaoS Adm's user avatar
  • 141
1 vote
1 answer
92 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 ...
Steve's user avatar
  • 41
1 vote
1 answer
69 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 ...
DevLoverUmar's user avatar
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1 answer
47 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 ...
coding_ninza's user avatar
1 vote
0 answers
70 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 ...
information's user avatar