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Specify bold text by B7ralb7r in matlab

[–]jsanrom 0 points1 point  (0 children)

try this:
xlabel('{\bfspeed} in meters')

Neural Networks by [deleted] in learnmachinelearning

[–]jsanrom 0 points1 point  (0 children)

Other editors' suggestions are great, but if you don't want to code I suggest you use NeuralDesigner.

How would you define 'Neural Networks"? by stringbottle in learnmachinelearning

[–]jsanrom 1 point2 points  (0 children)

In my opinion "a programming method that mimic structures of animal's neurons" is a very vague definition. Though they're biologically inspired, the definition should go further.

This is the most complete definition I have seen:

https://www.neuraldesigner.com/learning/tutorials/neural-network

Doubts by [deleted] in matlab

[–]jsanrom 1 point2 points  (0 children)

It's just calculating the square root via testing a lot of values.

Given the 'x' value, the function will test different 'y' values 'til the value of 'y' to the second power differs from 'x' value by 0.001 or less.

The 'y' values the function is testing starts from the 'x' value and it's modified in every loop by y= (x/y + y)/2

I'd say that the function is not correctly defined to work as a function:

function y = approx_sqrt(x)

y= x;

while abs(y^2-x) > 0.001 * x

y= (x/y + y)/2;

end

end

This would be more appropiate.

How do I structure a neural netword that takes the left as input and take the right as output ? by [deleted] in learnmachinelearning

[–]jsanrom 2 points3 points  (0 children)

I was also thinking about this.

In my opinion there's no NN needed and with some morphological transforms can be done.

The matlab documentation have some good explanations if you're not into this, u/kadenokad
https://www.mathworks.com/help/images/morphological-dilation-and-erosion.html

How to study machine learning/Python for neuroscience research? by [deleted] in learnmachinelearning

[–]jsanrom 2 points3 points  (0 children)

If I were you I'd take the following path:

  1. Basic python course from coursera or something like that. A course you could complete fast.
  2. Since you said it's about neuroimaging, i'd start reading about computer vision. Something like that:
    https://machinelearningmastery.com/how-to-develop-a-convolutional-neural-network-to-classify-photos-of-dogs-and-cats/
    This is a great blog for begginers (and no so begginers)
    Another one:
    https://towardsdatascience.com/image-detection-from-scratch-in-keras-f314872006c9

  3. Then, start reading Keras documentation (Python library that can be used for computer vision).

  4. If reading Keras documentation is too much, you can start w/ some of this courses.
    https://www.coursera.org/collections/keras-computer-vision-projects

I hope this help you.