f.b.cnn.step1: Convolutional Neural Network - Step 1

Description Usage Arguments Value Author(s)

View source: R/cnn.R

Description

To get (back) to the overview of all steps and functions use this link: a.a.main

Usage

1
f.b.cnn.step1(CNN_model, train_array, train_y, rounds, lr, batch)

Arguments

CNN_model

The initial model that gets trained in this function

train_array

An data array with features to train on, rows being objects and columns being features

train_y

A vector containing all classifications for the given objects

rounds

A numeric value that is the amount of rounds the model is trained

lr

The learning rate

batch

The amount of objects which the model is trained on every round

Value

CNN model the trained model gets returned

Author(s)

Maren Reuter, Nils Meckmann


Vitlik/DA2-17 documentation built on May 20, 2019, 11:12 a.m.