Stack Exchange Network

Stack Exchange network consists of 175 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.

Visit Stack Exchange

Questions tagged [architecture]

For questions about AI architecture specifically. (For general software architecture questions, use the "software-architecture" tag.

1
vote
1answer
29 views

AlphaGo neural network inputs

I have two questions: 1) I have been reading an article on AlphaGo and one sentence confused me a little bit, because I'm not sure what it exactly means. The article says: AlphaGo Zero only uses ...
1
vote
0answers
21 views

Architecture and Use of Different Algorithms for Health Goal Feedback

I wanted to get some opinions from the community for a certain problem that I will be approaching. The problem is to provide feedback to a user based on a image of the upper male torso. The image ...
2
votes
0answers
17 views

Multi-field text input for LSTM

I'm using LSTM to categorize medium-sized pieces of text. Each item to be categorized has several free-form text fields, in addition to several categorical fields. What is the best approach to using ...
10
votes
1answer
107 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 ...
3
votes
1answer
57 views

Neural network architecture for comparison

When someone wants to compare 2 inputs, the most widespread idea is to use a Siamese architecture. Siamese architecture is a very high level idea, and can be customized based on the problem we are ...
2
votes
0answers
15 views

Is Hebbian learning the progenitor of AI?

Hebb's postulate attempts to explain associative learning via the processes of sampling (using sensors), emitting responses and receiving feedback. This is a form of control orientated architecture ...
1
vote
3answers
151 views

How does Tara AI work?

Cisco and other companies are using Tara AI—a matching tool that connects IT projects with freelancers who have the exact skills required to complete them. Looking for an explanation of how Tara AI ...
1
vote
2answers
116 views

Are artificial networks based on the perceptron design inherently limiting?

At the time when the basic building blocks of machine learning (the perceptron layer and the convolution kernel) were invented, the model of the neuron in the brain taught at the university level was ...
1
vote
2answers
212 views

How to teach a Model-based reflex agent for doing some task using machine learning methods?

I would like to know how to teach an agent for performing prediction of the severity of disease and also for alerting patients using machine learning methods. I found the Model-based reflex agent ...
0
votes
1answer
439 views

How can I create my own Google duplex?

I am trying to create my own variant of Google duplex however, it won't make calls but just have a real time conversation. My question is, where and how to start? How do I train my model with real ...
7
votes
3answers
271 views

Compound intelligence?

A question about swarm intelligence as a potential method of strong general AI came up recently, and yielded some useful answers and clarifications regarding the nature of swarm intelligence. But it ...
1
vote
6answers
1k views

What is the difference between AI architecture and AI model?

What is the difference between AI architecture and AI models? Are both of them the same? If not, please distinguish both of them and give example of each.
1
vote
0answers
70 views

Algorithms that connect neurons to previous layers as well as next

Are there any algorithms, or any evidence to decide or to suggest it would be better to connect a neuron node in a layer l, in a neural network to particular nodes ...
10
votes
1answer
732 views

Why is the merged neural network of Alpha Go Zero more efficient than two separate neural networks?

Alpha Go Zero contains several improvements compared to its predecessors. Architectural details of Alpha Go Zero can be seen in this cheat sheet. One of those improvements is using a single neural ...
2
votes
1answer
660 views

What are the counterparts of non-linearities and dropout in fully convolutional networks?

I am trying to replicate the fully convolutional networks (FCN) concept described here for semantic segmentation. It seems people have successfully trained such models by removing fully connected ...
3
votes
1answer
202 views

What type of reinforcement learning can I do restricted to ~200MB on an average smartphone?

This concerns a set of finite, non-trivial, combinatorial games [M] in the form of an app. A sample game can be found here. Because this is a mass market product, we can't take up too much space, ...
2
votes
1answer
90 views

What linear rectifier is better?

What rectifier is better in general case of Convolutional Neural Network and how about empirical rules to use each type? ReLU PReLU RReLU ELU Leacky ReLU
3
votes
2answers
190 views

Are there any learning algorithms as powerful as “deep” architectures?

This article suggests that deep learning is not designed to produce the universal algorithm and cannot be used to create such a complex systems. First of all it requires huge amounts of computing ...