Stack Exchange Network

Stack Exchange network consists of 174 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 [mlp]

For question about Multi Layer Perceptron model/architecture, its training and other related details and parameters associated with the model.

1
vote
1answer
35 views

Regression with neural network (MLP) has tendency to yield values 0 and 1

I'm just beginning to understand neural networks and I've performed a couple of successful tests with numerical series where the NN was trained to find the odd one or a missing value. It all works ...
3
votes
3answers
184 views

Why MLP momentum term must be in the range 0-1?

Why momentum factor greater than 1 is a bad idea? What are the mathematical conclusions?
2
votes
1answer
68 views

Unable to overfit using MLP

I'm building a 5-class classifier with a private dataset. Each data sample has 67 features and there are about 40000 samples. Samples of a particular class were duplicated to overcome class imbalance ...
1
vote
0answers
142 views

Sigmoid output layer and Cross-Entropy cost function

I use Sigmoid activation function for neurons at output layer of my Multi-Layer Perceptron also, I use cross-entropy cost function. As I know when activation functions like Tanh is used in output ...
2
votes
0answers
36 views

How to deal with padded inputs in a fully connected feed forward network?

I have a fully connected network that takes in a variable length input padded with 0. However the network doesn't seem to be learning and I am guessing that the high number of zeros in the input ...
2
votes
1answer
86 views

Using a MLP to predict a 12x12 matrix

So, i need to use an MLP to predict a 12x12 matrix composed of floating points. The matrices are as this one that follows: Most matrices have this "pattern". As input, i have 7 floating points, ...
1
vote
1answer
109 views

Comments on my proposed “Jitter” neuron

I have an application of neural networks (standard MLP architecture) where I want to forecast a tanh output (ranging from -1 to +1) with about 1500 input features in ~700 samples. Each sample ...
5
votes
1answer
104 views

Is it a valid assumption that a purely MLP based tic-tac-toe player will learn lookahead strategies?

I'm doing a little tic-tac-toe project to learn neural networks and machine learning (beginner level). I've written a MLP based program that plays with other search based programs and trains with the ...
0
votes
1answer
154 views

Perceptions in a Neural network

In a Neural network, there is an input layer, any number of hidden layers, and an output layer. My question is: Are the input and output layer nodes actually perceptions? Or do they just signify what/...
6
votes
2answers
970 views

What is the difference between MLP and RBF?

What are the main differences between two types of feedforward networks such as multilayer perceptrons (MLP) and radial basis function (RBF)? What are the fundamental differences between these two ...