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Questions tagged [training]

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

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221 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/...
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1answer
643 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 ...
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0answers
117 views

Natural language processing with a continuous dependent variable

I have a large number of observations. Each observation contains: dependent variable: a scores ranging from 0 - 100 independent variable: a large article I want to know which words or phrases ...
2
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2answers
65 views

Identifying if an image contains an object with very small (five image) training data set

Let's suppose I have 5 images, all of which I assure you are of the same item, but from various angles and perhaps different lighting conditions. I now supply you with an additional image, and I want ...
1
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1answer
2k views

What fast loss convergence indicates on a CNN?

I'm training two CNNs (AlexNet e GoogLeNet) in two differents DL libraries (Caffe e Tensorflow). The networks was implemented by dev teams of each libraries (here and here) I reduced the original ...
1
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0answers
85 views

When do you back-propagate errors through a Neural Network when using TD Lambda

I have a Neural Network that I'm want to use to self-play Connect Four. The neural network receives the board state and is to provide an estimate of the states desirability. I would then, for each ...
-3
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1answer
80 views

Neural Net not training biases correctly

This is an XOR neural net I built in Python. When I run it with random weights and keep the biases constant, it trains them perfectly and reaches the global minima, but when i add the biases in so ...
4
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1answer
128 views

How are LSTM's trained for text generation?

I've seen some articles about text generation using LSTMs (or GRUs) for text generation. Basically it seems you train them by folding them out, and putting a letter in each input. But say you trained ...
1
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1answer
391 views

Dense-Sparse-Dense CNN training

I want to implement DSD: Dense-Sparse-Dense training for deep neural networks by Han et al. In short, the paper suggest the following training scheme to improve the network accuracy: Train as usual ...
2
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1answer
521 views

Solving Crossword Puzzles

I have to model an AI that should be able to understand clues and find the answer from a specified word database. I came across several papers that solves the problem with training neural networks or ...
2
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0answers
46 views

Recommendations on which architecture to use to guess appointment

I'm currently developping an application which allows psychologists to manage their schedule and budget. As a proof of concept, I would like to create an intelligent appointment service. There can be ...
4
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2answers
151 views

As a starter: what is the form of training data for image processing

What we are doing in the image processing training. We are storing some form of data which is going to act as the knowledge or experience of the system. In which form can the system store it's ...
1
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1answer
183 views

Markov Model for a Traffic Intersection

I need some help in developing a Markov Model for a crossroads there is no one way road and i am assuming at this time that traffic is only allowed to go straight no turns are allowed. There are 4 ...
6
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2answers
153 views

Shortening the development time of a neural network

I am developing an LSTM for sequence tagging. During the development, I do various changes in the system, for example, add new features, change the number of nodes in the hidden layers, etc. After ...
2
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0answers
103 views

Train, Validation and Test Split for Reporting Accuracy of Neural Model and BOW

I need to report accuracies of my neural model in a conference paper as compared to various baselines. What are the accepted standards for reporting accuracies in a fair manner? Neural Model: To be ...
1
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1answer
307 views

What is the order of execution of steps in back propagation algorithm in a neural network?

I am a machine learning newbie. I am trying to understand backpropagation algorithm. I have a training dataset of 60 instances/records. So what is the correct order of the process: Forward pass of ...
4
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1answer
178 views

What can be done to correct for sampling bias introduced from (noisy) training data while training a DNN?

The obvious solution is to ensure that the training data is balanced - but in my particular case that is impossible. What corrections can one perform in such a scenario? I know that my training data ...
4
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1answer
61 views

What are state-of-the-art ways of using greedy heuristics to initially set the weights of a Deep Q-Network in Reinforcement Learning?

I am interested in the current state-of-the-art ways to use quick, greedy heuristics in order to speed up the learning in a Deep Q-Network in Reinforcement Learning. In classical RL, I initially set ...
5
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1answer
154 views

Is it feasible to train a Machine Learning Model (with image inputs) in an average personal computer?

There are lots of examples of machine learning systems that can recognize objects and extract other information from images with very high precision. To train the models of such systems is necessary (...
2
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0answers
522 views

3D - CNN. Why my cost function decreases, but the accuracy does not increase?

I'm implementing a C3D-inspired neural network for human emotion recognition, the problem I'm facing is that altough the cost function is decreasing, for both training and validation sets, I do not ...
3
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1answer
168 views

Can we apply ANN to cryptography?

If a group of computers have identical ANN with exact same set of learning data and all have functionality of encryption and decryption, would there be any way for interceptors to interpret encrypted ...
5
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1answer
1k views

What are the state space and the state transition function in AI?

I'm studying for my AI final exam, and I'm stuck in the state space representation. I understand initial and goal states, but what I don't understand is the state space and state transition function. ...
3
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1answer
240 views

How close are we to having an AI that can play Magic: The Gathering objectively well?

With tools like open AI will we be able to teach an AI to build its own decks? build a deck from a limited pool? or draft? evaluate the power level of a card?
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0answers
121 views

What is good way of start learning AI step by step? [closed]

Can someone suggest step by step approach to learn AI rather than study a stack of book for long time.[ I'm not denying that books are great helper but what after that ] Thanks in Advance.
0
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1answer
105 views

Artificial writing system [closed]

I want to have a program that writes like a human. But I don't just want a font, but instead an 'intelligent' program that produce different result and that can be trained with different sets to ...
2
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1answer
724 views

Using AI capabilities for coding review [closed]

Are there any existing approaches for using artificial neural networks (ANN) or evolutionary algorithm (EA) for detecting coding standard violations? Which one would be more suitable? I don't have ...
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2answers
313 views

What are the approaches to predict sequence of π numbers? [closed]

Given list of fixed numbers from a mathematical constant such as Pi, is it is possible to train AI to attempt to predict the next numbers? Which AI or neural network would be more suitable for this ...