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Raspberry Pi 3 Cookbook for Python Programmers - Third Edition
book

Raspberry Pi 3 Cookbook for Python Programmers - Third Edition

by Steven Lawrence Fernandes, Tim Cox
April 2018
Beginner content levelBeginner
552 pages
13h 58m
English
Packt Publishing
Content preview from Raspberry Pi 3 Cookbook for Python Programmers - Third Edition

How to do it...

  1. Import the following packages:
import numpy as np 
import neurolab as nl 
  1. Read the input file:
in_file = 'words.data'
  1. Consider 20 data points to build the neural network based system:
# Number of datapoints to load from the input file 
num_of_datapoints = 20
  1. Represent the distinct characters:
original_labels = 'omandig' 
# Number of distinct characters 
num_of_charect = len(original_labels) 
  1. Use 90% of data for training the neural network and the remaining 10% for testing:
train_param = int(0.9 * num_of_datapoints) 
test_param = num_of_datapoints - train_param 
  1. Define the dataset extraction parameters:
s_index = 6 
e_index = -1 
  1. Build the dataset:
information = [] labels = [] with open(in_file, 'r') as f: for line ...
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Publisher Resources

ISBN: 9781788629874Supplemental Content