Pengantar Deep Learning dengan Python
Dan Becker
Data Scientist and contributor to Keras and TensorFlow libraries
Tentukan arsitektur
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Prediksi
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))
Pengantar Deep Learning dengan Python