Some helper functions that you often need when doing ML using Julia, including
- functions to split into training and test sets
- functions to create k-fold cv sets
- functions to create batches
- functions to calculate the accuracy and mean squared error
- softmax, logistic function
- squeeze function
- outer product
- function which defines a simple convergence criterion
- function which produces a confusion matrix