Unanswered Questions
1,064 questions with no upvoted or accepted answers
12
votes
2answers
1k views
Input/output encoding for a neural network to learn a grid-based game
I am writing a simple toy game with the intent of training a deep neural network on top of it. The games rules are roughly the following:
The game has a board made up of hexagonal cells.
Both players ...
10
votes
1answer
118 views
Are Modular Neural Networks more effective than large, monolithic networks at any tasks?
Modular/Multiple Neural networks (MNNs) revolve around training smaller, independent networks that can feed into each other or another higher network.
In principle, the hierarchical organization ...
10
votes
1answer
456 views
Are Cellular Neural Networks one type of Neural Networks?
I am researching Cellular Neural Networks and have already read Chua's two articles (1988). In cellular neural networks, a cell is only in relation with its neighbors. So its is easy to use it for ...
10
votes
1answer
740 views
Intelligent vision and gestalt processing
Decades ago there were and are books in machine vision, which by implementing various information processing rules from gestalt psychology, got impressive results with little code or special hardware ...
10
votes
2answers
140 views
What are some tactics for recognizing artificially made media?
With the growing ability to cheaply create fake pictures, fake soundbites, and fake video there becomes an increasing problem with recognizing what is real and what isn't. Even now we see a number of ...
8
votes
1answer
148 views
Deep Networks and generalisation of Hopfield Networks
Hopfield Nets are able to store a vector and retrieve it starting from a noisy version of it. They do so setting weights in order to minimise the energy function when all neurons are set equal the ...
8
votes
5answers
252 views
Can an AI be trained to generate the outline of a story?
I know that one of the recent fads right now is to train a neural network to generate screenplays and new episodes of e.g. the Friends or The Simpsons, and that's fine: it's interesting and might be ...
7
votes
1answer
95 views
Synapses automatically select it's neurons
I know the basics of Artificial Neural Networks. For instance; make dot product with the weights and every neuron from previous layer. Adjust the weight by error. And done, That is how I see neural ...
6
votes
2answers
440 views
How to create a good fitness function?
In genetic algorithms, a function called "fitness" (or "evaluation") function is used to determine the "fitness" of the chromosomes. Creating a good fitness function is one of the challenging tasks in ...
6
votes
1answer
337 views
Loss function for Hierarchical Multi-label classification
I am looking to try different loss functions for a hierarchical multi-label classification problem. So far, I have been training different models or submodels like multilayer perceptron ( MLP )branch ...
6
votes
2answers
185 views
Can some one help me understand this paragraph from Nvidia's progressive gan paper?
Furthermore, we observe that mode collapses traditionally
plaguing GANs tend to happen very quickly, over the course of a dozen minibatches. Commonly
they start when the discriminator overshoots, ...
6
votes
0answers
197 views
Can we use the recursive least squares as a learning algorithm to an ADALINE?
I'm new to neural network, I study electrical engineering, and i just started working with ADALINEs.
I use Matlab, and in their Documentation they cite :
However, here the LMS (least mean squares) ...
6
votes
1answer
2k views
Confusion regarding anchor boxes in YOLO
I'm going through Andrew NG's course which talks about YOLO but he doesn't go into the implementation details of anchor boxes.
Look through the code, each anchor box is represented by two values, but ...
6
votes
1answer
260 views
Has any schema-agnostic database engine been implemented?
Has any schema-agnostic database engine been implemented?
6
votes
2answers
70 views
How much can the addition of new features improve the performance?
How much can the addition of new features improve the performance of the model during the optimization process?
Let's say I have a total of 10 features. Suppose I start the optimisation process using ...
