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Machine Learning for Healthcare Analytics Projects
book

Machine Learning for Healthcare Analytics Projects

by Eduonix Learning Solutions
October 2018
Intermediate to advanced
134 pages
2h 39m
English
Packt Publishing
Content preview from Machine Learning for Healthcare Analytics Projects

Building our Keras model

We'll now start building our Keras model, which is a deep learning algorithm:

  1. The first thing that we're going to do is import the necessary packages and layers. We will do that by running the following lines of code:
from sklearn.model_selection import GridSearchCV, KFoldfrom keras.models import Sequentialfrom keras.layers import Densefrom keras.wrappers.scikit_learn import KerasClassifierfrom keras.optimizers import Adam

In the preceding code snippet , GridSearchCV is the function we will use to perform a grid search, and KFold will be used for performing the k-fold cross-validation. KerasClassifier is used as the wrapper. Adam is the optimizer that we will be using for this model; the rest of the functions are ...

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Publisher Resources

ISBN: 9781789536591