Creare un modello Keras

Introduzione al Deep Learning in Python

Dan Becker

Data Scientist and contributor to Keras and TensorFlow libraries

Fasi di creazione del modello

Definisci l'architettura
Compila
Allena (fit)
Predici

Specifica del modello

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))

Alysa, esercitiamoci!

Introduzione al Deep Learning in Python