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For questions based on proper usage of data for Machine Learning ad other Algorithms to extract useful information.

4
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0answers
48 views

Algorithm For Making Balanced Weapons In A Game?

I am trying to make balanced weapon pairs. So there are five stats per weapon, and I am simulating a number of combats (1000) with different stats randomized, and counting the win, lose, and draw of ...
4
votes
2answers
51 views

Is there a database somewhere of common lists?

I'm looking for a database or some machine readable document that contains common ordered lists or common short sets. e.g: ...
5
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2answers
63 views

How does rotating an image and adding new 'rotated classes' prevent overfitting?

From Meta-Learning with Memory-Augmented Neural Networks in section 4.1: To reduce the risk of overfitting, we performed data augmentation by randomly translating and rotating character images. ...
2
votes
1answer
37 views

Automatic image classification

I'm a complete newbie to NNs, and I need your advice. I have a set of images of symbols, and my goal is to categorize and divide them into groups of symbols that look alike. Without teaching NN ...
1
vote
2answers
29 views

Normalization for well known data sets like coco-text and total text data set

In the data-sets like coco-text and total-text, the images are of different sizes (height*width). I'm using these data sets for text detection. I want to create a DNN model for this. So input data ...
3
votes
1answer
65 views

Is there a way to predict points on a map?

I have a data set with historical information of some events (let's say event A and event B),these events describe the discovery of land mines, the coordinates of the event and the date of the event; ...
-1
votes
1answer
56 views

Are standard deviation, variance, skew good features for ML?

Pretty simple question here: Is it useful to use the standard deviation, skew, kurtosis, or any other extrapolatory stats as features, and if so in which problem sets? In this case, I am talking ...
0
votes
1answer
39 views

Can we code rules for an agent in python language other than predicate calculus?

I have a medical dataset with 14000 rows dataset with 900 attributes. I have to predict disease severity using that. I would like to know whether we can write rules in python language for training an ...
1
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0answers
28 views

Data Interpretation technique

In the model generation, in machine learning (consider supervised) If some data change the previous model function drastically then we should study that data. Does it happen? How to handle such ...
3
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2answers
239 views

Convolutional neural networks with input images of different dimensions - Image segmentation

I'm facing the problem of having images of different dimensions as inputs in a segmentation task. Note that the images do not even have the same aspect ratio. One common approach that I found in ...
1
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0answers
15 views

Feature set out of grayscale Images for training a neural network?

Previously I had trained a Neural Networkupon 20,000 character images. This Neural Net generally works well, it uses ...
4
votes
2answers
38 views

Can machine learning help me digest asymmetrical order descriptions?

I have order data, here's a sample: ...
0
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0answers
15 views

Dataset of UIs augmented by Machine learning

Does anyone know of any dataset repository containing user interfaces augmented in some way by machine learning? Ideally something like Rico, but listing ui components that uses machine learning ...
0
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0answers
23 views

Retraining a trained model in real-time

I have a trained CNN model which is 95% Accurate. It classifies, a family and a group of friends who are eating in a restaurant. I made two folders inside the Training and Testing set with the images ...
2
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0answers
35 views

Shifting training data

I want to create a neural network and train it on some data, however I want to be able to create a new model without retraining it from the start. An example, I have 1000 data points in my training ...
6
votes
3answers
212 views

Has anybody tried unsupervised deep learning from youtube videos?

YouTube has a huge amount of videos, many of which also containing various spoken languages. This would presumably provide something like the data that a "challenged" baby would experience - "...
4
votes
1answer
27 views

Looking to build, compile, and/or find dataset for serial-parallelized code examples

I'm looking to perform two tasks: Train a classifier to classify code as serial or parallel Train a generative algorithm to generate parallel code from serial For the first task a simple scraper ...
3
votes
3answers
72 views

Good idea to assign different objects to same class?

Suppose one trains a CNN to determine if something was either a cat/dog or neither (2 classes), would it be a good idea to assign all cats and dogs to one class and everything else to another? Or ...
0
votes
1answer
55 views

How to make training data for AI

Right now I'm planning to make a DNN for classifying taste of crystals with their molecular structure which include information like no of atoms mass of each atoms atomic no of atoms. How should I ...
2
votes
0answers
43 views

Classification Learning - Normalization of time series and live usage

UPDATE: The tables look messed up so i put them on pastebin for better visibility. https://pastebin.com/gDX28uVF I am using Neural Network with different learning types (for example Standard ...
0
votes
2answers
39 views

A way to give more weight to particular data?

Let us for these purposes say with are working with any feed forward neural network. Let us also say, that we know beforehand that certain portion of our dataset arsignificantly more impactful or ...
3
votes
1answer
63 views

Find anomalies from records of categorical data

I have a data-set with m observations and p categorical variables (nominal), each variable ...
0
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0answers
207 views

PASCAL VOC dataset

I am trying to train a deep network on PASCAL VOC 2012 dataset. But the number of images are a bit too few. There are some papers that mention about augmented PASCAL VOC set (like PSPNet, Section 5.3)....
5
votes
2answers
79 views

What are some concrete steps to deal with the vanishing gradient problem?

So I am training an ANN for classification between 3 classes. The ANN has an input layer, one hidden layer and a 3 node output layer. The problem I am facing is that the output being produced by the ...
1
vote
2answers
101 views

Data-set values feature scaling: sigmoid vs tanh

As many papers point out, for better learning curve of a NN, it is better for a data-set to be normalized in a way such that values match a Gaussian curve. Does this process of feature normalization ...
1
vote
1answer
186 views

Human Height estimation using person detection techniques

I have a pedestrian dataset and would like to estimate human height in a video survillance using person detection techniques like YOLO Darknet or SSD (Single Shot Detectors). Would this technique work?...
1
vote
1answer
258 views

How to label edited images after data augmentation

I am new to neural networks, I've only started studying and learning about the subject a year ago, and I just started building my first neural network. The project is a little bit ambitious: A ...
1
vote
2answers
63 views

Machine learning and machine generated content conflict problem

Machine learning and NN trainings as a part of ML is based on data that was gotten from real world and inserted into virtual space by humans. Meanwhile NN are also used for data generation. Each year ...
2
votes
1answer
98 views

What is the effect of mislabeled training data?

Collecting and labeling training data for a supervised learning tasks is incredibly time-consuming and costly. For instance; Let's say you wrote a script that went on Google images and got you 5000 ...
1
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0answers
49 views

Orientation of data set before training simple ANN's

Well, I am new to implementing ANN's and there is something that i want to know. It maybe a bit silly though. I just wanted to know that if we have a simple data set say dependent only on a single ...
0
votes
1answer
25 views

Recommendation system based on content type

I am new to this field and would like to know that for what kind of data types other than images, recommendation system can be created using machine learning. Suppose for contents like audio or video, ...
3
votes
1answer
222 views

Is there any free dataset of source code along with natural language description?

I am currently working on my MSc thesis, where I try to automatically convert description of an algorithm in natural language to source code in Python (the algorithms are quite simple, like revert an ...
2
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0answers
105 views

Preprocessing of training dataset for machine learning

I'm developing a log analyzer to predict and find errors in an equipament. Each logged data contains the following format: ...
3
votes
1answer
98 views

How can one find / collect data for, and come up with ideas for, using Deep Learning / AI to improve one's everyday life?

I can see a lot of tutorials and examples about using TensorFlow and other free, open-source AI/ML/DL frameworks on enterprise level where enough data was collected for such AI solutions. How can one ...
2
votes
1answer
214 views

Dataset containing images of varying dimensions and orientations

I am new to deep learning. I have a dataset of images of varying dimensions of a certain object. A few images of the object are also in varying orientations. The objective is to learn the features ...
0
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2answers
261 views

Training network to detect spelling mistakes

I would like to know what kind of dataset I need (to prepare) for training the network to recognize the spelling mistakes in individual words for English text. Given the large database of words, ...
1
vote
2answers
349 views

In LSTM text generation can low amount of training data be compensated?

I'm playing with an LSTM to generate text. In particular, this one: https://raw.githubusercontent.com/fchollet/keras/master/examples/lstm_text_generation.py It works on quite a big demo text set ...
-1
votes
1answer
208 views

How many neurons would a network have after a training of 100k small images?

Is there any way to estimate how big the neural network would be after training session of 100,000 unlabeled images for unsupervised learning (like in STL-10 dataset: 96x96 pixels and color)? Not the ...
3
votes
3answers
79 views

How to classify language as friendly or aggressive with AI?

Just for the purpose of learning I'd like to classify the likeliness of a tweet being in aggressive language or not. I was wondering how to approach the problem. I guess I need first train my neural ...
1
vote
1answer
58 views

What are the most challenging tasks aiming to achieve the lowest error rate?

For example there is the MNIST database which is used to test artificial neural network (ANN), however it's not so challenging, because some hierarchical systems of convolutional neural networks ...