Introductie tot Deep Learning in Python
Dan Becker
Data Scientist and contributor to Keras and TensorFlow libraries
Architectuur opgeven
Compilen
Fitten
Voorspellen
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))
Introductie tot Deep Learning in Python