Creating a Keras model

Introduction to Deep Learning in Python

Dan Becker

Data Scientist and contributor to Keras and TensorFlow libraries

Model building steps

Specify Architecture
Compile
Fit
Predict

Model specification

import numpy as np
from tensorflow.keras.layers import Dense
from tensorflow.keras.models import Sequential

predictors = np.loadtxt('predictors_data.csv', delimiter=',')
n_cols = predictors.shape[1]

model = Sequential()
model.add(Dense(100, activation='relu', input_shape = (n_cols,)))
model.add(Dense(100, activation='relu'))
model.add(Dense(1))

Let's practice!

Introduction to Deep Learning in Python