date stringlengths 10 10 | nb_tokens int64 60 629k | text_size int64 234 1.02M | content stringlengths 234 1.02M |
|---|---|---|---|
2017/09/05 | 702 | 2,928 | <issue_start>username_0: **CAPTCHAs**, which are often seen in web applications, are working under the assumption, that they **pose a challenge which a human can solve easily while a machine will most likely fail**. Prominent examples are identifying distorted letters or categorizing certain objects in images.
**Neura... |
2017/09/06 | 1,662 | 6,831 | <issue_start>username_0: I would like to train a neural network (NN) where the output classes are not (all) defined from the start. More and more classes will be introduced later based on incoming data. This means that, every time I introduce a new class, I would need to retrain the NN.
How can I train an NN increment... |
2017/09/07 | 1,733 | 7,093 | <issue_start>username_0: I was wondering if anyone can suggest a good framework for reasoning with **incomplete information**.
I have found [Large Knowledge Collider](http://larkc.org/) but it appears dead for some time. Do you possibly have any other suggestions for a maintained project worth checking?
Since many co... |
2017/09/08 | 464 | 1,993 | <issue_start>username_0: Where can I find training datasets like the ones provided for linguistic training, but to train a program to program itself.
I want to input this training dataset to a programming script and it should use it to program itself.
What do I need to consider in this kind of artificial intelligenc... |
2017/09/10 | 1,272 | 5,424 | <issue_start>username_0: [Stochastic Hill Climbing](https://en.wikipedia.org/wiki/Stochastic_hill_climbing) generally performs worse than Steepest [Hill Climbing](https://en.wikipedia.org/wiki/Hill_climbing), but what are the cases in which the former performs better?<issue_comment>username_1: I'm new to these concepts... |
2017/09/11 | 486 | 2,125 | <issue_start>username_0: Imagine that we have a black box that has 100 binary inputs and 30 binary outputs.
We can generate values for inputs and get a relevant set of outputs.
How does one teach a neural network to predict the binary inputs (or list of input values with probabilities) using the outputs?<issue_commen... |
2017/09/15 | 495 | 2,125 | <issue_start>username_0: In my application, I have inputs and outputs that could be represented as graphs. I have a number of acceptable pairs of input and output graphs. I want to use these to train a model.
I am looking for pointers where simple examples of learning methods with graphs as input are discussed. Please... |
2017/09/15 | 1,618 | 6,405 | <issue_start>username_0: Suppose a thinking AI agent exists in the future with far more computational power than the human brain.
Also assume that they are completely free from any human interference. *(The agents do not interact with humans.)* Since they are not inherently biased to survive as in the case of humans ... |
2017/09/16 | 1,576 | 5,934 | <issue_start>username_0: By optimal I mean that:
* If max has a winning strategy then minimax will return the strategy for max with the fewest number of moves to win.
* If min has a winning strategy then minimax will return the strategy for max with the most number of moves to lose.
* If neither has a winning strategy... |
2017/09/17 | 3,862 | 16,246 | <issue_start>username_0: **Introduction**
I am currently writing an engine to play a card game, as there is no engine yet for this particular game.
**About the game**
The game is similar to [Magic: The Gathering](https://en.wikipedia.org/wiki/Magic:_The_Gathering). There is a commander, which has health and abilitie... |
2017/09/18 | 2,587 | 9,331 | <issue_start>username_0: Is there any well defined method to define or represent evil in **abstract** logic, binary or AI form?
Video games method of representing evil is relative to the player context (thus subjective, and not pure abstract evil in an objective sense).
What I am asking is there any data defined as w... |
2017/09/23 | 2,123 | 7,531 | <issue_start>username_0: After reading this [paper](https://eprints.whiterose.ac.uk/75048/1/CowlingPowleyWhitehouse2012.pdf) about Monte Carlo methods for imperfect information games with elements of uncertainty, I couldn't understand the application of the **determinization step** in the [author's implementation](http... |
2017/09/25 | 832 | 3,863 | <issue_start>username_0: I just got into AI few months ago. I noticed most of the images in training datasets are usually low quality( almost pixelated).
Does the quality of training images affect the accuracy of the neural network?
I tried googling, but I couldn't find an answer.<issue_comment>username_1: For most... |
2017/09/26 | 763 | 2,687 | <issue_start>username_0: Are there any algorithms (or software libraries) that can be used to detect the similarity of concepts in text, regardless of articulation, grammar, synonyms, etc.?
For example, these phrases:
>
> Outside, it is warm.
>
>
> Outside, it is hot.
>
>
> Outside, it is not cold.
>
>
> It is... |
2017/09/26 | 816 | 3,259 | <issue_start>username_0: After having read something that <NAME> said about artificial intelligence and how it could affect our lives, I've been reading about artificial intelligence, deep learning, etc. The recurrent topic is neural networks, which are used for "recognition tasks".
Although this is not my main questi... |
2017/09/27 | 589 | 2,466 | <issue_start>username_0: In example, if there is a simple feed-forward neural network with 3 input neurons, 3 hidden neurons, and one output neuron; is it possible to predict a the value of an input neuron given the values and weights for the other two inputs and the output.<issue_comment>username_1: One can do this to... |
2017/09/28 | 1,525 | 6,289 | <issue_start>username_0: DNN can be used to recognize pictures. Great. For that usage, it's better if they are somewhat flexible so as to recognize as cats even cats that are not on the pictures on which they trained (i.e. avoid overfitting). Agreed.
But when [one uses](http://ieeexplore.ieee.org/abstract/document/777... |
2017/09/28 | 712 | 3,113 | <issue_start>username_0: For implementing a neural network algorithm that can play air hockey, I had two ideas for input, and I'm trying to figure out which design would be most viable.
The output must be two analog values that dictate the best position on half of the table for the robot to be at a specific point in t... |
2017/09/28 | 1,198 | 4,297 | <issue_start>username_0: Notice that, in the following formula, at the very right, the term multiplied with $\lambda$ is $d\_i$
$$
w := w + \alpha \sum\_{i=1}^{N-1} \nabla r(x\_i^l, w) \Big \lfloor \sum\_{j=i}^{N-1} \lambda^{j-i} d\_i \Big \rfloor
$$
Note that $i$ is the index of the first sum.
However, in the follo... |
2017/10/01 | 3,746 | 15,009 | <issue_start>username_0: My question assumes that a private researcher doesn't have access to anything stronger than a modern PC with a high end GPU to implement his projects. He can also use cloud computing but with limited funds as well.
Is it still feasible to do research with those restrictions? [AlphaGo used 1,20... |
2017/10/01 | 3,578 | 14,349 | <issue_start>username_0: What is the difference between a normal processor and a processor designed for AI?<issue_comment>username_1: It is totally practical and encouraged to do research on even common laptops. Many questions about AI can be addressed using this architecture and for a reference, look at every AI grad ... |
2017/10/02 | 818 | 3,403 | <issue_start>username_0: I'm currently in the research stage of building a web app in ASP.NET where the user can input a URL to an Amazon product, then the app would determine how likely its reviews are to be genuine. I need help figuring out what algorithm to use in determining if a certain review is likely to be dece... |
2017/10/03 | 2,438 | 7,758 | <issue_start>username_0: [This question](https://ai.stackexchange.com/questions/10/what-is-fuzzy-logic) covers in detail, what fuzzy logic is and how it relates to other math fields, such as boolean algebra and sets theory.
[This question](https://ai.stackexchange.com/questions/118/how-can-fuzzy-logic-be-used-in-creat... |
2017/10/07 | 650 | 2,559 | <issue_start>username_0: I am having issues getting started with a multi class problem with multiple features and hoping someone could please point me in the right direction.
I have data that is structured like this for training:
```
Item State Code1 Code2 Code3 Route
--- --- --- --- --- ---
item1 MI A1 ... |
2017/10/07 | 781 | 2,533 | <issue_start>username_0: I am looking for something similar to IBM Watson but open source.<issue_comment>username_1: Have a look at the [ChatScript project](http://chatscript.sourceforge.net/), whose description is
>
> ChatScript is a "next Generation" chatbot engine, based on the one that powered Suzette, that won t... |
2017/10/09 | 881 | 3,332 | <issue_start>username_0: I've gotten curious about this topic and am wondering what the stack exchange community has to say about it. Also, does anyone know of any professors/researchers who have published papers pertaining to this?<issue_comment>username_1: A couple of thoughts:
1. Humans can't reliably predict trend... |
2017/10/10 | 1,881 | 6,778 | <issue_start>username_0: How are the layers in a encoder connected across the network for normal encoders and auto-encoders? In general, what is the difference between encoders and auto-encoders?<issue_comment>username_1: To answer this rather succinctly, an encoder is a function mapping some input to some different sp... |
2017/10/12 | 1,377 | 5,500 | <issue_start>username_0: How will morality questions be settled in the domain of self-driving cars?
For example
1. If a dog is crossing the road, I'd expect the car to try to avoid it. But what if this leads to .00001% more risk for the driver? What is the 'risk cut-off'?
2. What if a cockroach is crossing the road? ... |
2017/10/16 | 642 | 2,334 | <issue_start>username_0: I'm looking to design a neural network that can predict which runner wins in a sports game, where the number of runners varies between 2-10. In each case, specific data about the individual runners (for example, the weight, height, average speed in previous races, nationality, etc) would be fed... |
2017/10/16 | 517 | 2,015 | <issue_start>username_0: I have a large dataset (over 100k samples) of vehicles with the ground truth of their lengths.
Is it possible to train a deep network to measure/estimate vehicle length?
I haven't seen any papers related to estimating object size using a deep neural network.<issue_comment>username_1: Yes! Thi... |
2017/10/16 | 639 | 2,701 | <issue_start>username_0: I'm working on an image classification problem using a neural network. In the training data set, 90% of the samples fall into 10% of all categories, while 10% of the sample fall into the other 90% categories. So an example is not evenly distributed among all categories. If we assume this distri... |
2017/10/17 | 1,036 | 3,851 | <issue_start>username_0: Is Deep Learning the repeated application of Linear Regression?<issue_comment>username_1: There's no point to fit a linear regression model (such as OLS) with neural network because it's really designed for non-linear models. But if you want to do that, you'll just need to set linear activation... |
2017/10/19 | 1,253 | 4,568 | <issue_start>username_0: Without using any of Matlab's neural network tools, I'm writing a program to simulate an OR gate with a perceptron. I have seen many tutorials, but I still can't understand why we need weights to train a perceptron for such a simple purpose.
One way is to program the perceptron with the condi... |
2017/10/19 | 409 | 1,523 | <issue_start>username_0: In the hill climbing algorithm, the greater value, compared to the current value, is selected, but I cannot understand why it takes the larger value instead of the smaller one. Why is that?
I greatly appreciate the inclusion of figures in your answers.<issue_comment>username_1: When we climb a... |
2017/10/19 | 460 | 1,747 | <issue_start>username_0: In my research on video games path finding I'm using ant colony optimization, not only to find the shortest path, but also to add some unpredictability and adaptiveness to bots path finding. It works the way as players move in the map, they add some pheromone to the map, so it adds up a probabi... |
2017/10/21 | 1,686 | 7,046 | <issue_start>username_0: This might sound silly to someone who has plenty of experience with neural networks but it bothers me...
Random initial weights might give you better results that would be somewhat closer to what a trained neural network should look like, but it might as well be the exact opposite of what it s... |
2017/10/22 | 1,619 | 7,476 | <issue_start>username_0: I know a little about these subjects. I found them similar to each other. Can anybody explain the differences between them?<issue_comment>username_1: Machine learning is a form of pattern recognition. Machine learning is basically the idea of training machines to recognize patterns and apply it... |
2017/10/22 | 984 | 3,918 | <issue_start>username_0: I would like to create a application that can teach a parrot (an orange winged amazon) to learn new phrases and also interact and talk with him. My idea of how this would work is that a neural network could learn his phrases and how and when the best time is to interact with him (I wouldn't wan... |
2017/10/24 | 940 | 3,543 | <issue_start>username_0: I have a liberal arts background so I need help understanding [this paper](https://arxiv.org/pdf/1708.09839.pdf), particularly pages 26 to 30. The authors test a four-camera system for localization, mapping, and obstacle detection for self-driving cars. The paper seems to say the multi-camera s... |
2017/10/25 | 906 | 3,581 | <issue_start>username_0: I've been researching the following topic. Or rather, I would like to but I can't find anything because I'm not sure what to look for.
I am interested weather there are some concepts or models that explain how humans (or cognitive systems in general) trade off *remembering* what to do in a par... |
2017/10/27 | 897 | 3,549 | <issue_start>username_0: I'm very interested in writing a **Spiking Neural Network** engine (SNN) from scratch, but I can't find the basic information I need to get started.
For example, I've seen pictures of the individual signals that combine to form a neuron pulse in several research papers, with no information on ... |
2017/10/29 | 908 | 3,802 | <issue_start>username_0: I am trying to train a CNN regression model using the ADAM optimizer, dropout and weight decay.
My test accuracy is better than training accuracy. But, as far as I know, usually, the training accuracy is better than test accuracy.
So I wonder how this is happening.
[![my grph](https://i.stac... |
2017/10/31 | 1,461 | 5,929 | <issue_start>username_0: So, my question is a bit theoretical. I have been trying to implement a perceptron based classifier with outputs 1 and 0 depending on the category. I have used 2 methods: The `example by Example learning method` and `Batch learning method`. I also have defined another method which will measure ... |
2017/11/01 | 520 | 2,219 | <issue_start>username_0: A question for developers of projects for pattern recognition. How best to organize the architecture of such a service?
At what stage do you conduct logic? (for example, for the recognition of a photo of a male blue jacket, a cascade of queries is performed: "recognizing men" -> "recognizing t... |
2017/11/03 | 847 | 3,801 | <issue_start>username_0: I am fairly new to deep learning in general and I am currently facing a problem I want to solve using neural networks and I am unsure if it is a *classification* or *regression* problem. I am aware that classification problems are about classifying whether an input belongs to class A or class B... |
2017/11/04 | 897 | 3,860 | <issue_start>username_0: I was reading the paper [Dynamic Routing Between Capsules](https://arxiv.org/pdf/1710.09829.pdf) and didn't understand the term "activity vector" in the abstract.
>
> A capsule is a group of neurons whose activity vector represents the instantiation parameters of a specific type of entity suc... |
2017/11/05 | 945 | 3,042 | <issue_start>username_0: I've mostly seen (e.g. in [The Unreasonable Effectiveness of Recurrent Neural Networks](http://karpathy.github.io/2015/05/21/rnn-effectiveness/)) that when training RNN on text for something like language modeling, the text is usually featurized character-by-character using a 1-hot encoding.
F... |
2017/11/05 | 622 | 2,063 | <issue_start>username_0: I'm new in this argument, my question is:
Can convolution be applied in other contexts different from image recognition?
Is there a good source to learn from?<issue_comment>username_1: CNNs are generally designed for 2D (generally image) data. Hence, other usages are most likely a "hack" to CN... |
2017/11/07 | 1,563 | 5,735 | <issue_start>username_0: What would be examples of journals that are good for a **first publication** in the field of Deep Reinforcement Learning?
I am in the process of writing about the research results of DQN-related algorithms.
I have 3 requirements - it should be indexed in one of these databases, otherwise, I c... |
2017/11/07 | 4,211 | 17,637 | <issue_start>username_0: What's the difference between model-free and model-based reinforcement learning?
It seems to me that any model-free learner, learning through trial and error, could be reframed as model-based. In that case, when would model-free learners be appropriate?<issue_comment>username_1: Model-based r... |
2017/11/09 | 1,358 | 5,803 | <issue_start>username_0: I have a set of images that I already trained a CNN to classify successfully. I wonder if it would be possible to encode the images (using XOR in combination with a key of the same length as the image) and train a new net on them.
Thinking logically, the features still exist in the same relat... |
2017/11/16 | 1,211 | 5,507 | <issue_start>username_0: I am a PhD student in computer science, and currently creating a state of the art overview in applications done in Machine Ethics (a multidisciplinary field combining philosophy and AI, that looks at creating explicit ethical programs or agents). It seems that the field mostly contains theoreti... |
2017/11/16 | 1,290 | 4,812 | <issue_start>username_0: With some knowledge of machine learning and deep learning, it seems very unlikely for AI to develop into the consciousness that we imagine.
To me, consciousness requires a new framework that is very different from what we have today, as current forms of learning seem to be very 'shallow'.
Wha... |
2017/11/21 | 697 | 2,931 | <issue_start>username_0: I am using Google's OCR to extract text from images, like receipts and invoices.
Whare examples of techniques used to make sense of the text? For example, I would like to extract the date, name of the business, address, total amount, etc.
Before marking this question "too broad", if someone c... |
2017/11/22 | 2,402 | 10,136 | <issue_start>username_0: I have started on <NAME>'s machine learning course. It seems that machine learning is learning correlations with known data based on as many parameters as possible. For example, if we collect data on existing property prices with information on the land area, built-in area, type of building, ag... |
2017/11/22 | 467 | 2,121 | <issue_start>username_0: "Deep Learning" neural networks are now successful at image-recognition tasks that I would not have expected say 10 years ago. I wonder if the current state of the art in machine learning could generally tell the difference between the sound of a dog or cat moving around a house, and a person w... |
2017/11/23 | 1,789 | 6,921 | <issue_start>username_0: I've been reading a lot about TD-Gammon recently as I'm exploring options for AI in a video game I'm making. The video game is a turn-based positional sort of game, i.e. a "units", or game piece's, position will greatly impact its usefulness in that board state.
To work my way towards this, I ... |
2017/11/23 | 797 | 2,992 | <issue_start>username_0: I have an AI class this semester. For our exam, we also cover alpha-beta pruning.
I found an old example, where I think we can stop already earlier.
Here is a picture of it.
[](https://i.stack.imgur.com/VMyg3.jpg)
I think, b... |
2017/11/24 | 914 | 4,145 | <issue_start>username_0: I'm building a neural net to predict the value of a piece of art with a wide range of inputs (size, art medium, etc.) and I would like to include the author as an input as well (it is often a huge factor in the value of a single piece of art).
My current concern is that the name of the author ... |
2017/11/26 | 984 | 4,303 | <issue_start>username_0: I am a c# senior developer and I got a task to try and predict the potential in each new client, or maybe the worth of each customer.
I don't have experience with machine learning, but I played with accord-framework.net and got some nice results on simple task.
My data model for **training** i... |
2017/11/29 | 2,077 | 8,745 | <issue_start>username_0: Goal-driven AIs is the only kind of AI I am aware of. However, <NAME> claims [the following](http://www.hutter1.net/ai/uaibook.htm)
>
> Most, if not all known facets of intelligence can be formulated as goal driven or, more generally, as maximizing some utility function. It is, therefore, suf... |
2017/11/30 | 1,263 | 4,792 | <issue_start>username_0: Technically speaking, could we code in natural language once we pass the Turing test? Would passing the Turing test at least simplify programming languages' syntax?<issue_comment>username_1: No. Humans pass the Turing Test but cannot express themselves with enough precision and little enough am... |
2017/11/30 | 1,952 | 7,594 | <issue_start>username_0: 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 thought the derivative of a sigmoid function output is just the slope of the sigmoid line at a specif... |
2017/12/02 | 971 | 3,969 | <issue_start>username_0: There has been recent uptick in interest in e**X**plainable **A**rtificial **I**ntelligence (XAI). Here is XAI's mission as stated on its [DARPA page](https://www.darpa.mil/program/explainable-artificial-intelligence):
>
> The Explainable AI (XAI) program aims to create a suite of machine lea... |
2017/12/04 | 795 | 3,733 | <issue_start>username_0: I am currently looking for AI use cases for Telco. What are the different AI use cases for Telcos/communication service providers?<issue_comment>username_1: AI could hold the key in automating and optimizing networks. On the subscriber side, ML and AI will assist telecom operators in profiling ... |
2017/12/04 | 1,102 | 3,819 | <issue_start>username_0: >
> Given a neural network $f$ that takes as input $n$ data points: $x\_1, \dots, x\_n$. We say $f$ is **permutation invariant** if
>
>
> $$f(x\_1 ... x\_n) = f(\sigma(x\_1 ... x\_n))$$
>
>
> for any permutation $\sigma$.
>
>
>
How could we build such a neural network? The output can b... |
2017/12/04 | 1,137 | 4,236 | <issue_start>username_0: I have followed a course on machine learning, where we learned about the gradient descent (GD) and back-propagation (BP) algorithms, which can be used to update the weights of neural networks, and reinforcement learning, in particular, Q-learning. I implemented these concepts separately.
Now, ... |
2017/12/05 | 565 | 2,334 | <issue_start>username_0: Collecting and labeling training data for 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 pictures for each of 10 classes. You then use an unsupervised algorithm to cluster them. Then, you... |
2017/12/06 | 526 | 2,211 | <issue_start>username_0: 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 a score of how likely this image is to contain the item depicted in the first five pictures.
L... |
2017/12/06 | 2,409 | 10,518 | <issue_start>username_0: Can an AI learn to play chess if you give it nothing but "the goal is to win" as starting criteria? If not, what is the minimum information the AI would need to be "seeded" with in order to learn to play chess? What techniques could be used to create an AI that learns to play chess independentl... |
2017/12/07 | 1,232 | 5,348 | <issue_start>username_0: Currently, AI is advancing fast in deep learning: [Entire human chess knowledge learned and surpassed by DeepMind's AlphaZero in four hours](http://www.telegraph.co.uk/science/2017/12/06/entire-human-chess-knowledge-learned-surpassed-deepminds-alphazero/).
As a layman, I'm taking this as a qui... |
2017/12/08 | 2,812 | 10,524 | <issue_start>username_0: What is the fundamental difference between convolutional neural networks and recurrent neural networks? Where are they applied?<issue_comment>username_1: Basically, a CNN saves a set of weights and applies them spatially. For example, in a layer, I could have 32 sets of weights (also called fea... |
2017/12/09 | 1,271 | 5,066 | <issue_start>username_0: Is it possible to give a **rule of thumb estimate about the size of neural networks that are trainable on common consumer-grade GPUs**?
For example, the [Emergence of Locomotion (Reinforcement)](https://arxiv.org/abs/1707.02286) paper trains a network using tanh activation of the neurons. They... |
2017/12/11 | 1,577 | 7,011 | <issue_start>username_0: I heard that your ML model's quality depends directly on the quality and the quantity of data you use.
So I was thinking that can question answers be used as data to train an algorithm which can solve any high school science problems? Because we do have a gazillion number of high school books... |
2017/12/11 | 169 | 646 | <issue_start>username_0: I am planning to build an app which will count the number of sqauts from videos. Assuming that the user and camera do not move, are there ways I can count the number of squats? Do such models to understand human activity and pose exist?<issue_comment>username_1: Yes, this is a rather straightfo... |
2017/12/14 | 965 | 4,162 | <issue_start>username_0: ### Goal
I want to create an artificial intelligence to compete against other players in a board game.
### Game explanation
I have a board game similar to 'snakes and ladders'. You have to get to a final field before your opponent does. But instead of depending on luck (throwing the dices) t... |
2017/12/15 | 1,490 | 6,445 | <issue_start>username_0: I have a binary classification problem, where a false positive error has a very big cost compared to the false negative error.
Is there a way to design a classifier for such problems (preferably, with an implementation of the algorithm)?<issue_comment>username_1: There is no predefined classi... |
2017/12/15 | 709 | 2,769 | <issue_start>username_0: I am trying to detect a TV channel logo inside a video file. So, simply, given an input `.mp4` video, detect if it has that logo present in a specific frame, say the first frame, or not.
Here's the first example of a frame with a logo.
Here's the secon... |
2017/12/16 | 1,234 | 4,576 | <issue_start>username_0: As self-driving technology is improving, there are so many companies developing self-driving cars like Google, Uber, etc. Is it possible that we won't need any private/paid self-driving cars and the "self-driving taxi" becomes ubiquitous in the city? If we assume that there are such taxis every... |
2017/12/16 | 1,130 | 5,058 | <issue_start>username_0: The capsule neural network seems to be a good solution for problems that involve hierarchies. For example, a face is composed of eyes, a nose and ears; a hand is made of fingers, nails, and a palm; and a human is composed of a face and hands.
Many problems in NLP can be seen as hierarchical pr... |
2017/12/17 | 725 | 2,939 | <issue_start>username_0: I am trying to find literature on a network architecture that takes the following as in input:
* Action (like 'Up', 'Down', etc)
* Image of the current state
and outputs:
* Image of next state
I already have a lot of training data for the inputs. However, I am trying to find relevant litera... |
2017/12/18 | 1,018 | 4,167 | <issue_start>username_0: *TLDR : Is there an AI available that can recognize employees in a factory and tell when they entered and left pre-defined areas?*
I work in a factory where we gather cycle time data from various inputs (computer interfaces, bar code readers and RFID tags). We follow both parts moving along th... |
2017/12/19 | 349 | 1,584 | <issue_start>username_0: Model-based RL creates a model of the transition function.
Tabular Q-Learning does this iteratively (without directly optimizing for the transition function). So, does this make tabular Q-learning a type of model-based RL?<issue_comment>username_1: Tabular Q-Learning does not explicitly create... |
2017/12/19 | 694 | 2,738 | <issue_start>username_0: I'm learning about NEAT from the paper [Evolving Neural Networks through Augmenting Topologies](http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf).
I'm having trouble understanding how adjusted fitness penalizes large species and prevents them from dominating the population, I'll demon... |
2017/12/22 | 1,035 | 4,093 | <issue_start>username_0: I'm really new to neural networks. I'm trying to make a neural network with genetics algorithms which will make a snake learn to look for the food and avoid hitting his tail.
The thing is that I think that I've done it, but as there's no walls the snake learns to go one direction only without ... |
2017/12/23 | 482 | 1,934 | <issue_start>username_0: Let say that we have four straight string with colors RED, GREEN, BLUE and YELLOW. These strings are tied up randomly. We know the current state of string (like starting point, where we should we start untying from) and the final state (where current string must look like after untying them).
... |
2017/12/28 | 647 | 2,611 | <issue_start>username_0: What are "bottlenecks" in the context of neural networks?
This term is mentioned, for example, in [this TensorFlow article](https://web.archive.org/web/20180703133602/https://www.tensorflow.org/tutorials/image_retraining), which also uses the term "bottleneck values". How does one calculate bo... |
2017/12/31 | 616 | 2,672 | <issue_start>username_0: For example, I need to detect classes for MNIST data. But I want to have not 10 classes for digits, but also I want to have 11th class "not a digit", so that any letter, any other type of image, or random noise would be classified as "not a digit". Similarly, with CIFAR-10, I want to have the 1... |
2017/12/31 | 990 | 4,125 | <issue_start>username_0: Machine learning models and, in particular, neural networks are trained with data often collected from the real world, such as images of real people.
Meanwhile, neural networks (such as GANs) are also used for data generation. Each year, they become better at this task to the point that even h... |
2018/01/03 | 1,473 | 5,767 | <issue_start>username_0: The Intel 8080 had 4500 transistors and ran at 2-3.125 MHz. By comparison, the 18-core Xeon Haswell-E5 han 5,560,000,000 transistors and can run at 2 GHz. Would it be possible or prudent to simulate a neural network by backing a chip chock-full of a million interconnected, slightly modified int... |
2018/01/08 | 680 | 2,870 | <issue_start>username_0: I am trying to understand if [robotic process automation (RPA)](https://en.wikipedia.org/wiki/Robotic_process_automation) is a field that requires expertise in machine learning.
Do the algorithms behind RPA use machine learning except for OCR?<issue_comment>username_1: Yes, rpa is AI. In parti... |
2018/01/09 | 516 | 2,264 | <issue_start>username_0: Can [Viola Jones algorithm](https://en.wikipedia.org/wiki/Viola%E2%80%93Jones_object_detection_framework) be used to detect the facial emotion. Actually it was used in creating harr-cascade file for object and facial detection, but what confused me is whether it can be used to train for emotion... |
2018/01/09 | 464 | 1,798 | <issue_start>username_0: Why do non-linear activation functions that produce values larger than 1 or smaller than 0 work?
My understanding is that neurons can only produce values between 0 and 1, and that this assumption can be used in things like cross-entropy. Are my assumptions just completely wrong?
Is there any ... |
2018/01/10 | 1,515 | 5,992 | <issue_start>username_0: I am working on a problem where I need to determine whether two sentences are similar or not. I implemented a solution using BM25 algorithm and wordnet synsets for determining syntactic & semantic similarity. The solution is working adequately, and even if the word order in the sentences is jum... |
2018/01/12 | 1,792 | 7,209 | <issue_start>username_0: At my work, we're currently doing some research into data visualisation for highly interconnected data, basically graphs.
We've been implementing all sorts of different layouts and trying to see which fits best, but, due to the nature of the problem --it's a visual thing - we needed to come up... |
2018/01/13 | 2,130 | 9,122 | <issue_start>username_0: Some argue that humans are somewhere along the middle of the intelligence spectrum, some say that we are only at the very beginning of the spectrum and there's so much more potential ahead.
Is there a limit to the increase of intelligence? Could it be possible for a general intelligence to pro... |
2018/01/13 | 610 | 2,549 | <issue_start>username_0: i'm quite new to neural network and i recently built neural network for number classification in vehicle license plate. It has 3 layers: 1 input layer for 16\*24(382 neurons) number image with 150 dpi , 1 hidden layer(199 neurons) with sigmoid activation function, 1 softmax output layer(10 neur... |
2018/01/13 | 1,103 | 4,216 | <issue_start>username_0: I don't understand why Google Translate translates the same text in different ways.
[Here is the Wikipedia page of the 1973 film "Enter the Dragon"](https://en.wikipedia.org/wiki/Enter_the_Dragon). You can see that its traditional Chinese title is: 龍爭虎鬥. [Google translates](https://translate.g... |
2018/01/17 | 1,697 | 7,036 | <issue_start>username_0: What are the connections between ethics and artificial intelligence?
What are the issues that have arisen, especially in the business context? What are the issues that may arise?<issue_comment>username_1: This is a good related read from Nature: [There is a Blind Spot in AI Research](https://w... |
2018/01/19 | 537 | 2,210 | <issue_start>username_0: I am currently writing an engine to play a card game and I would like for an ANN to learn how to play the game. The game is currently playable, and I believe for this game a deep-recurrent-Q-network with a reinforcement learning approach is the way to go.
However, I don't know what type of la... |