Artificial Intelligence Stack Exchange
Artificial Intelligence Stack Exchange

Questions tagged [ai-basics]

Use for basic, fundamental questions about AI theory or practice. (i.e. design, application, implementation, mathematics of AI, philosophy of AI, etc.)

16 questions
3
votes
2 answers

Can machine learning help me digest asymmetrical order descriptions?

I have order data, here's a sample: Ninety-six (96) covered pans, desinated mark cutlery. 5 vovered pans by knife co. (SEE SCHEDULE A FOR NUMBERS). 757 SOUP PANS 115 10-quart capacity pots. Thirteen (13), 30 mm thick covered pans. I have over 50k…
lewicki
  • 141
  • 2
2
votes
1 answer

How does one make it obvious that the structure of a neural network should be what it is?

I am a beginner: I've only read a book about neural network and barely implemented one in C. In short: A neural network is built out of nodes, Each node holds an output: activation.(sum.(x * w)), We then compute the total error out of the network…
user15357
2
votes
1 answer

How to find the subject in a text?

I often develop bots and I need to understand what some people are saying. Examples: - I want an apple - I want an a p p l e How do I find the object (apple)? I honestly don't know where to start looking. Is there an API that I can send the text to…
Matheus Freitas
  • 49
  • 2
1
vote
0 answers

Approach for data transformation needed

I am looking for an algorithm to transform an input data to a goal data using a series of operations. The shorter the series the better. The following is known: the input data the goal data input and goal data does not stand in any…
Viatorus
  • 111
  • 2
1
vote
0 answers

Data extraction from medical reports

I am new in Machine Learning. I have taken a course in vision and we are required to do a project. I am thinking of data mining medical lab report images. My code must take an image and jpg file and then extract important information from it like…
Plasmatiger
  • 111
  • 1
1
vote
1 answer

Is there a non-geometric formulation of machine learning

Note: I am not asking what is geometric formulation of machine learning. I am searching alternative formulations that are not reduced to machine learning on manifolds Machine learning is usually formulated as a geometric problem (e.g. [1], [2]). The…
Vladislav Gladkikh
  • 534
  • 6
  • 14
1
vote
1 answer

Predict time series from initial non-time dependant parameters

I'm trying to create an algorithm (neural network) that is able to predict a time series from a set of different parameters that are not given through time. Let's say I have a plane flying under the following…
Miguel21R
  • 11
  • 1
1
vote
0 answers

AI approach for layout mapping

I am researching different AI approaches and was curious what approach would be useful in my scenario. Assume you are tiling a room. The tiles, and the room itself, can be any shape. In this room you could encounter N number of obstacles, such as a…
user3010406
  • 119
  • 1
0
votes
2 answers

How can i learn AI from the beginning?

I have completed my high school and now will be going to college.For my 4 years of college I am planning to master AI but actually I have zero knowledge about it, although I will be taught about it in college but still i want to learn some basics…
Kushagra Mishra
  • 1
0
votes
1 answer

How are the weights connected in a neural network?

Recently I was giving an interview and while I was explaining how an auto encoder works, the interviewer asked me "how did you connect the weights in the network?" I wasn't sure of the answer and thought maybe he was asking about the activation…
ThinkPad
  • 41
  • 6
0
votes
1 answer

Confusion about bias in McCulloch-Pitts neurons

I just have a quick question, maybe I am too nit picky here. We recently had an introductory lecture to AI in university and the professor talked about McCulloch-Pitts neurons, e.g. activation as soon as the sum of inputs is reaching a certain…
DerOeko
  • 13
  • 3
0
votes
1 answer

Can YOLOv3 architecture be clearly separated into feature extractor and classifier parts?

I am new to machine learning and am confused about whether its architecture has clearly defined boundaries which demarcate the feature extraction and classification part. Or is it that it classifies the features extracted at different scales…
CodeExplorer23
  • 3
  • 1
0
votes
1 answer

For a task that searches for an image artifact within a picture, can existing tools can be used or do I need to design the process myself?

I am familiar only with basic AI/NN concepts but never worked with any libraries/tools as tensor flow. Currently, I have a task for which AI might be ideal: detection of a certain image artifact in a picture (lets say I want to detect a black…
John V
  • 111
  • 3
0
votes
1 answer

Appropriate ML algorithm to solve a cutting pattern problem

I have a rectangular area, where I need to place some 2 dimensional geometrical shapes - like a square or circle or a little more complicated shapes. And after the arrangement these shapes should be cut out. Requirements to the disposal of…
tueftla
  • 103
  • 3
0
votes
2 answers

How are non-linear surfaces formed in the training of a neural network?

Desperate trying to understand something for couple of weeks. All those questions are actually one big question.Please help me. Time-codes and screens in my question refer to this great(IMHO) 3d…
Igor
  • 303
  • 1
  • 11
1
2