The Stack Overflow podcast is back! Listen to an interview with our new CEO.

# Questions tagged [neural-networks]

Network structure inspired by simplified models of biological neurons (brain cells). Neural networks are trained to "learn" by supervised and unsupervised techniques, and can be used to solve optimization problems, approximation problems, classify patterns, and combinations thereof.

399 questions
Filter by
Sorted by
Tagged with
151 views

400 views

### What kind of Neural Network (if any) could fit two sets of data points?

I have two datasets, one of animal migration patterns (collected over the course of a couple years) that consists of many points on an x, y plane (latitude, longitude), and the other of ocean surface ...
3k views

### How to reconstruct the image from a neural network output?

I am trying to use the genetic algorithm to optimise a multi-layered neural network for image classification (i am using a subset of the MNIST handwritten digit data set as my initial dataset, but ...
62 views

### Progressive discrete multifunction optimization

I have a set of functions $F$. The functions effectively take a set $S$ that is always a subset of a global set of all possible values $G$, where $|G|>1000$. (alternatively, they could take a $|G|$...
212 views

### Could neural networks be considered metaheuristics?

A metaheuristic is defined as a metaheuristic is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently ...
98 views

### How to represent symbolic knowledge using real numbers - theory about neural networks and natural/analog computing?

One can define the semantics of one definite word using the references to real world entities, relationships with the other words and other concepts and represent all this knowledge about this one ...
248 views

712 views

### Calculating gradient in a neural net using batches

I am a CS student learning about neural nets. Currently I am confused about how to train a neural net in batches. If I calculate error in a batch, I will get a vector of errors e.g. real1 - predicted1,...
495 views

### Where I can I find Pre Trained CNN Datasets for Facial Emotion Recognition?

I am working on a project that involves recognising emotion from images. There are two parts in the project: One where I will generate features from images using API's and then classify the emotion ...
34 views

### Change in Training Accuracy

I am solving a problem in the Kaggle learn section : https://www.kaggle.com/c/facial-keypoints-detection The problem involves detecting facial keypoints in a 96x96 image, some 30 features are ...
355 views

### How does a recurrent connection in a neural network work?

I am reading a very interesting paper on genetic algorithms which define neural networks. I am familiar with how a feedforward neural network operates, but then I came across this: Where node #4 ...
607 views

### Role of computational power in recent AI developments

Today Google's AI won its first game of Go against Lee Sedol, one of the best Go players on the planet. Image interpretation and self-driving cars are other recent success stories in machine learning. ...
985 views

### Differences between linear/nonlinear vs. deterministic/nondeterministic neural nets

When speaking of neural networks, I don't get the difference between nonlinear and non-deterministic. Basically, both say that the output of something is not directly correlated to the input? Hope ...