# Questions tagged [non-linear-regression]

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### What ML algorithm should I use that suits this data?

What if I have some data, let's say I'm trying to answer if education level and IQ affect earnings, and I want to analyze this data and put in a regression model to predict earnings based on the IQ ...
0answers
27 views

### Neural Network for Picking Parameters of a Nonlinear Function to Data Points

I'm trying to make a neural network in pytorch that picks the parameters of a nonlinear function, the radius and (x,y) center of a circle in the example below, based on a sample of values from the ...
3answers
123 views

### What is the difference between neural networks and other ways of curve fitting?

For simplicity, let's assume we want to solve a regression problem, where we have one independent variable and one dependent variable, which we want to predict. Let's also assume that there is a ...
0answers
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### Generating numerical output based on multiple inputs

I have been trying to use a linear regression with Turicreate to predict the a certain number based on a variety of input numbers. My process is pretty simple: I have four columns in my training ...
3answers
230 views

### Is Deep Learning the repeated application of Linear Regression?

Is Deep Learning the repeated application of Linear Regression?
1answer
97 views

### When are multiple hidden layers necessary?

I know that my question probably seems like being asked many times, but Ill try to be more speciffic: Limitations to my question: I am NOT asking about convolutional neural networks, so please, try ...
1answer
70 views

### If features are always positives, why do we use RELU activation functions?

When does it happen that a layer (either first or hidden) outputs negative values in order to justify the use of RELU? As far as I know, features are never negative or converted to negative in any ...
1answer
596 views

### solving xor function using a neural network with no hidden layers

xor is a non-linear dataset. It cannot be solved with any number of perceptron based neural network but when the perceptions are applied the sigmoid activation function, we can solve the xor dataset. ...
0answers
25 views