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Questions tagged [training]

For questions about training networks, rules systems, or other AI system components.

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0answers
37 views

Train a recurrent neural network by concatenating time series. Is it safe?

As the title says, I want to train a Jordan network (i.e. a particular kind of recurrent neural network) using a certain number of time series. Let's say that $x_1, x_2, \ldots x_N$ are $N$ input ...
6
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1answer
124 views

How do I predict if it is rainy or not?

I'm building a weather station, where I'm sensing temperature, humidity, air pressure, brightness, $CO_2$, but I don't have a raindrop sensor. Is it possible to create an AI which can say if it's ...
1
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1answer
43 views

Are artificial intelligence learnings or trainings transferable from one agent to the other?

One disadvantage or weakness of Artificial Intelligence today the slow nature of learning or training success. For instance, an AI agent might require a 100,000 samples or more to reach an appreciable ...
1
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1answer
106 views

Is 1mb an acceptable memory size for images being trained in a CNN?

I am using Tensorflow CNN to build an image classification/prediction model. Currently all the images in the dataset are each about 1mb in size. Most examples out there use very small images. The ...
0
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1answer
245 views

How to add external training in chatterbot?

I created a very simple bot to learn how to use chatterbot. This library already comes with a training, but I wanted extra training with an import of a corpus in Portuguese that I found in github. <...
2
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2answers
246 views

How to generate question answer data set like babi from books

I wanted to train a chat bot for answering questions from books. I am trying to use Dynamic Memory Networks to do so. How can I generate a data set like facebook did in case of babi tasks so that it ...
2
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1answer
44 views

Influence of location on a Neural Network trained for parking detection occupancy

I loaded a neural network model trained with Caffe by other people in OpenCV. The model should detect the presence of a car in a single parking spot outputting the probability of it being free/...
6
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1answer
96 views

Q-Learning the generic maze solution

After doing some exercices on Q-learning for maze solving, I wondered : my q-learning algorithms solve only ONE maze. The AI doesn't learn how to solve mazes, so how can I achieve it ? For instance ...
9
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1answer
15k views

Design AI for log file analysis

I'm developing an AI tool to find known equipments' errors and find new patterns of failure. This log file is time based and has known messages (information and error).I'm using a JavaScript library ...
2
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1answer
86 views

Using feature learning for a medical text classification problem [closed]

I'm currently working with the CHILDES corpus trying to create a classifier that distinguishes children whom suffer from specific language impairment (SLI) from those who are typically developing (TD)....
1
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1answer
51 views

Recommended Modelling Technique for Influencer Marketing Scenario

I have an approximately 90,000 row dataset that has information of social media profiles which has columns for biography, follower count, language spoken, name, username and the label (to identify ...
3
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3answers
396 views

What is the name of an AI system that learns by trial and error?

Imagine a system that controls dampers in a complex vent system that has an objective to perfectly equalize the output from each vent. The system has sensors for damper position, flow at various ...
2
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1answer
30 views

What is the AI discipline where an algorithm learns from an initial training set, but then refines its learning as it uses that training?

Imagine a system that is trained to manipulate dampers to manage air flow. The training data includes damper state and flow characteristics through a complex system of ducts. The system is then given ...
2
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1answer
158 views

How to implement an artificial network that outputs an integer within a range?

The goal is to implement an artificial network that, based on training samples labelled with positive integers, outputs a positive integer. Perhaps I am not searching for the correct thing but all ...
1
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0answers
19 views

Adding voices to voice synthesis corpuses

If one uses one of the open source implementations of the WaveNet generative speech synthesis design, such as https://r9y9.github.io/wavenet_vocoder/, and trains using something like the CMU's arctic ...
6
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3answers
281 views

AI composing music

Do you know what AI model would be best for let it learn composing music? I really don't know where to start there. Are there some good papers out there? I would say, if I use a NN, my only option ...
3
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1answer
95 views

Use cross-validation to train after model selection

I have been recently reading about model selection algorithms (for example to decide which value of the regularisation parameter or what size of a neural network to use, broadly hyper-parameters). ...
5
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1answer
336 views

What happens to the training data after your machine learning model has been trained?

I am completely new to all this, for the life of me I can't find the answer to this question anywhere on Google. What happens after you have used machine learning to train your model? What happens to ...
3
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1answer
103 views

Neural Network training beginner question

I have a question about the training sequence regarding Neural Network recognition. Let's say an image has 28*28 pixels, which leads to 784 Input Nodes with various greyscale values and 10 output ...
4
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1answer
44 views

How to compare the training performance of a model on different data input?

So I have a deep learning model and three data sets (images). My theory is that one of these data sets should function better when it comes to training a deep learning model (meaning that the model ...
4
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2answers
71 views

How long has it taken for autonomous driving cars to be being sold and used on the roads today?

I remember the first time hearing about google trying to make driverless cars. That was YEARS ago! These days, I'm beginning to learn about Neural Nets and other types of ML and I was wondering: ...
3
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2answers
66 views

How to actually teach the ANN the resulting weights of different training inputs?

I thought I have implemented the code (from scratch, no library) for an artificial neural network (first endeavour in the field). But I feel like I miss something very basic or obvious. To make it ...
2
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1answer
38 views

How do I compute log-likelihood for training set in supervised learning?

I am building a supervised learning model and I wish to compute the log-likelihood for the training set at the point of the minimum validation error. Initially, I was computing the sum of all the ...
1
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0answers
63 views

Sentence classification and named identity detection with automatic retraining

I am learning AI and trying out my first real life AI application. What I am trying to do is taking as an input various sentences, and then classifying the sentences into one of X number of categories ...
3
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2answers
64 views

Is there a way to define the boundaries of the optimal size of a training set?

At a related question in Computer Science SE, a user told: Neural networks typically require a large training set. Is there a way to define the boundaries of the "optimal" size of a training set ...
1
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0answers
35 views

What methods are there to detect discrimination in trained models?

I've been researching AI regulation and compliance (see my related question on law.stackexchange), and one of the big take-aways that I had is that the regulations that apply to a human will apply to ...
1
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1answer
27 views

Restoration of localized damaged areas (time signals, but guess also applicable to images)

I am starting to study the capabilities of neural networks for the reconstruction/restoration/... of communication signals. I am feeding my neural network with a signal which has some parts which ...
5
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5answers
2k views

How does an activation function's derivative measure error rate in a neural network?

A blog post called "Text Classification using Neural Networks" states that the derivative of the output of a sigmoid function is used to measure error rates. What is the rationale for this? I ...
2
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1answer
58 views

If use the weights from previous iteration of a k-fold cross validation to seed a neural network classifier would I be overfitting?

As is done traditionally, I used k-fold cross validation to select and optimize the hyper parameters of my neural network classifier. When it was time to store the final model for future predictions, ...
3
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3answers
420 views

Why should weights of Neural Networks be initialized to random numbers?

Premise Ok, I know that this question was asked before on ai.SE, on stats.SE and also on SO. So I did my homework in checking before posting my question, but none of them has an answer that fully ...
1
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0answers
77 views

Object recognition by two or more traits that are orthogonal (informally speaking)

I would really appreciate if someone could comment the following method of training neural nets providing them with some meta data (Making them more color prone only if needed, whereas now they're ...
2
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0answers
98 views

Performance Evaluation Metrics used in Training, Validation and Testing

Which specific performance evaluation metrics are used in training, validation and testing and why? I am thinking error metrics (RMSE, MAE, MSE) are used in validation, and testing should use a wide ...
7
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1answer
387 views

Why does 'loss' change depending on the number of epochs chosen?

I am using Keras to train different NN. I would like to know why if I increment the epochs in 1, the result until the new epoch is not the same. I am using shuffle=False, and np.random.seed(2017), and ...
5
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2answers
89 views

What defines a good dataset in Deep Learning approach?

Scenario: I am trying to create a dataset with images of choice for different animal classes. I am going to train those images for classification using CNN. Problem: Lets assume I somehow don't have ...
4
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1answer
353 views

How would you encode your input vector/matrix from a sequence of moves in game like tasks to train an AI? e.g. Chess AI?

I've seen data sets for classification / regressions tasks in domains such as credit default detection, object identification in an image, stock price prediction etc. All of these data sets could ...
1
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1answer
100 views

How to refine K-means clustering on a data set?

I'm working with a data set where the data is stored in a string such as AxByCyA where A, B ...
1
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2answers
122 views

Developing an AI to play outdoor games

I was wondering if it is possible to train an AI that can play outdoor games like cricket, badminton etc. I am new to AI, so if this question is dumb please bear it.
3
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3answers
105 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 ...
2
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3answers
2k views

What is the best XOR neural network configuration out there in terms of low error?

I'm trying to understand what would be the best neural network for implementing a XOR gate. I'm considering a neural network to be good if it can produce all the expected outcomes with the lowest ...
-3
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1answer
157 views

How can I train my computer work for me?

I want to train my computer to recognize texts from websites, copy them, insert them somewhere else, and other things like this, but I dont even know where to start my research and what tools should I ...
2
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0answers
40 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 ...
2
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0answers
78 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
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2answers
49 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 ...
4
votes
1answer
130 views

What approach should I use to detect faces in video game footage?

I have set myself the challenge of detecting the locations of players/bots in videos of a well known first person shooter game (this is for a youtube series I'm planning on doing). I'm not sure which ...
1
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0answers
123 views

My network does always predict always the first right class

I trained my model ResNet-50 for UCMerced_LandUse dataset and this my loss graph but I have a problem when I try my first picture ...
2
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1answer
56 views

Programming a bandit to optimize donations

I'm developing a multi-armed bandit which learns the best information to display to persuade someone to donate to charity. Suppose I have treatments A, B, C, D (which are each one paragraph of text). ...
3
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1answer
105 views

Are there independent evaluations of various major AI platforms?

Has anyone had a chance to tinker with multiple major AI platforms such as TensorFlow, Cognitive Talk, Quill etc... What are the strengths and weaknesses of different AI platforms? Comprehensive ...
1
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0answers
220 views

Transfer learning from model trained in a similar dataset

I am currently working on a defect detection algorithm but I only have a few samples of defects.I googled for defect detection datasets and I found this one: http://resources.mpi-inf.mpg.de/...
1
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1answer
641 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 ...
2
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0answers
73 views

How would I implement this New Type of NN

CIO NN CIO NN stands for Controller Input Output Nerual Network note due to a typo the "nearon" means "neron" For this we have to redefine the Nearon 2 Inputs 2 Outputs 4 Weights (each input and ...