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Machine Learning for Cybersecurity Cookbook
book

Machine Learning for Cybersecurity Cookbook

by Emmanuel Tsukerman
November 2019
Intermediate to advanced content levelIntermediate to advanced
346 pages
9h 36m
English
Packt Publishing
Content preview from Machine Learning for Cybersecurity Cookbook

How to do it...

In the following steps, we provide a recipe for using a previously trained RNN to generate reviews:

  1. We will start by importing keras:
import kerasfrom keras import layers
  1. Create a dictionary of indices for the characters or load up the one from the previous recipe:
char_indices = dict((char, chars.index(char)) for char in chars) 
  1. Read in a seed text and declare max_length of a sentence taken in by the neural network:
text = open("seed_text.txt").read()max_length = 40
  1. Construct an RNN model and load in your pre-trained weights:
rnn = keras.models.Sequential()rnn.add(    layers.LSTM(1024, input_shape=(max_length, len(chars_list)), return_sequences=True))rnn.add(layers.LSTM(1024, input_shape=(max_length, len(chars_list)))) ...
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Publisher Resources

ISBN: 9781789614671Supplemental Content