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-2 votes
1 answer
185 views

Design an algorithm to predict words based on a skeleton from a given dictionary

The model I'm building first selects a secret word at random from a list. The model which uses an API then returns a row of underscores (space separated)—one for each letter in the secret word—and ...
driver's user avatar
  • 232
4 votes
0 answers
661 views

A Very Simple Support Vector Machine with SMO Algorithm Implementation

Context. I was looking for some simple implementation of SVM with the SMO algorithm that can be used as an in-class problem together with a simple mathematical explanation of how it works. The problem ...
guest's user avatar
  • 141
0 votes
1 answer
208 views

Greedy adaptive dictionary (GAD) for supervised machine learning [closed]

For my project in machine learning supervised, I have to simplify a training-data and I have to use this technique at page 5 of the document. Pseudocode algorithm My code (numbers are the steps): <...
Giuseppe Accardo's user avatar
5 votes
1 answer
13k views

Different neural network activation functions and gradient descent

I've implemented a bunch of activation functions for neural networks, and I just want have validation that they work correctly mathematically. I implemented sigmoid, tanh, relu, arctan, step function, ...
benj rei's user avatar
1 vote
1 answer
472 views

Linear regression with visualization

I have created a small script that: Creates a lot of random points. Runs a small brute force search to find a rect that has a low error, that is a good fit for the data. Runs a linear regression on ...
Caridorc's user avatar
  • 27.5k