Questions tagged [training]

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

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1answer
162 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 ...
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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 ...
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0answers
85 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 ...
3
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1answer
175 views

Does training happen during NEAT?

When one uses NEAT to evolve the best fitting network for a task, does training take place in each epoch as well? If I understand correctly, training is the adjustment of the weights of the neural ...
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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 ...
3
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1answer
403 views

Periodic Pattern in Validation Loss Curve

I am currently trying to solve a regression problem using neural networks. I want to detect movement patterns in images over time (video) and output a continuous value. During the training process I ...
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0answers
124 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). ...
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0answers
224 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
678 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
74 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 ...
4
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1answer
382 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 ...
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0answers
125 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 ...
8
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1answer
430 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 ...
2
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2answers
66 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 ...
2
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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 ...
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 ...
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0answers
86 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 ...
4
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1answer
130 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 ...
-3
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1answer
82 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
132 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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1answer
415 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 ...
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3answers
725 views

Why initial weights in neural network are randomized?

This might sound silly to someone who has plenty of experience with neural networks but it bothers me... I mean randomizing initial weights might give you better results that would be somewhat closer ...
2
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1answer
575 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 ...
5
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2answers
94 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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2answers
152 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 ...
3
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1answer
106 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 ...
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2answers
155 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 ...
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1answer
184 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 ...
2
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0answers
106 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
316 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 ...
2
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2answers
258 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 ...
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
155 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 (...
11
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3answers
7k views

How to train a neural network for a round based board game?

I'm wondering how to train a neural network for a round based board game like, tic-tac-toe, chess, risk or any other round based game. Getting the next move by inference seems to be pretty straight ...
11
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1answer
16k 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 ...
0
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1answer
95 views

What is the concept of training a neural network?

I was trying to build an OCR system and heard about ANNs. I am weak at mathematics and statistics and couldn't stick up to reading those massive mathematical documents (research papers or ANN related ...
2
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0answers
525 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 ...
7
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2answers
190 views

What is the machine learning approach based on human learning?

I once came across a neural network being trained without back-propagation or genetic algorithms (or using any kind of data sets). It was based on how the human brain learns and adjusts its ...
3
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1answer
171 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
2k 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
243 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
125 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
107 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
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)....
4
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1answer
179 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 ...
2
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1answer
726 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 ...
7
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5answers
1k views

How can action recognition be achieved?

For example, I would like to train my neural network to recognize the type of actions (e.g. in commercial movies or some real-life videos), so I can "ask" my network in which video or movie (and at ...
3
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2answers
66 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 ...