Hands-On Deep Learning for IoT

Implementation

We will use Keras to wrap up this conceptualization. First, let's import the necessary packages and libraries, as follows:

import pandas as pdimport numpy as npimport tensorflow as tffrom sklearn.preprocessing import scalefrom keras.models import Sequentialfrom keras.layers import Input, Dense, Flatten, Dropout, Embedding, BatchNormalizationfrom keras.layers.convolutional import Conv1D,MaxPooling1Dfrom keras.layers import LSTMfrom keras.layers.merge import concatenatefrom keras.layers import GaussianNoisefrom pickle import loadfrom keras import optimizersfrom sklearn.metrics import classification_reportfrom sklearn.metrics import confusion_matrixfrom sklearn.metrics import precision_recall_curvefrom sklearn.metrics import