Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

Building a model for an authentication validity check

In this section, we will build the model that determines whether any user is performing a regular or an anomalous login:

1. We begin by importing the requisite modules, as shown here:

import sysimport osimport jsonimport pandasimport numpyfrom keras.models import Sequentialfrom keras.layers import LSTM, Dense, Dropoutfrom keras.layers.embeddings import Embeddingfrom keras.preprocessing import sequencefrom keras.preprocessing.text import Tokenizerfrom collections import OrderedDict

2. Now, we will import the dataset into the project. The dataset can be found at https://github.com/PacktPublishing/Mobile-Deep-Learning-Projects/blob/master/Chapter6/Model/data/data.csv:

csv_file = 'data.csv' ...