f.a.cnn.start: Convolutional Neural Network - Wrapper function

In Vitlik/DA2-17: Image Recognition

Description

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

This is a wrapper function for a convolutional neural network classifier.

It executes these functions:

1. f.b.cnn.step1

2. f.b.cnn.step2

Usage

f.a.cnn.start(rounds, lr, batch)

Arguments

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

Author(s)

Maren Reuter, Nils Meckmann

Examples

\code{result -> f.a.cnn.start(rounds = 80, lr = 0.00000001, batch = 50)}

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