create_lr_rate_parameters_exp: This function generates parameters for learning rate...

View source: R/cnn_callbacks.R

create_lr_rate_parameters_expR Documentation

This function generates parameters for learning rate callbacks defined by user input of number of epochs, the max learning rate willing, tensor used as input for ML or DL model, growth constant, and batch_size

Description

This function generates parameters for learning rate callbacks defined by user input of number of epochs, the max learning rate willing, tensor used as input for ML or DL model, growth constant, and batch_size

Usage

create_lr_rate_parameters_exp(
  epochz,
  max_lr,
  training_data,
  growth_constant,
  process_batch_size
)

Arguments

epochz

number of epochs the user plans to set for model they wish to train data on

max_lr

maximum allowed value for learning rate

training_data

A tensor of specific dimension

growth_constant

growth_constant for modeling exponential increase

process_batch_size

number of batches set when training model

Value

l_rate and n_iter


xazip/x3pLeaX documentation built on July 14, 2022, 5:37 p.m.