Bertahan dari hantaman meteor

Pengantar Deep Learning dengan Keras

Miguel Esteban

Data Scientist & Founder

Ringkasan

from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense

# Buat model sequential baru
model = Sequential()

# Tambahkan input dan layer dense
model.add(Dense(2, input_shape=(3,),
                activation="relu"))

# Tambahkan layer akhir 1 neuron
model.add(Dense(1))
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Kompilasi

# Kompilasi model yang telah dibuat
model.compile(optimizer="adam", loss="mse")

Pelatihan

# Latih model Anda
model.fit(X_train, y_train, epochs=5)

Epoch 1/5
1000/1000 [==============================] - 0s 242us/step - loss: 0.4090
Epoch 2/5
1000/1000 [==============================] - 0s 34us/step - loss: 0.3602
Epoch 3/5
1000/1000 [==============================] - 0s 37us/step - loss: 0.3223
Epoch 4/5
1000/1000 [==============================] - 0s 34us/step - loss: 0.2958
Epoch 5/5
1000/1000 [==============================] - 0s 33us/step - loss: 0.2795

Prediksi

# Prediksi pada data baru
preds = model.predict(X_test)

# Lihat prediksinya
print(preds)

array([[0.6131608 ],
       [0.5175948 ],
       [0.60209155],
       ...,
       [0.55633   ],
       [0.5305591 ],
       [0.50682044]])

Evaluasi

# Evaluasi hasil Anda
model.evaluate(X_test, y_test)

1000/1000 [==============================] - 0s 53us/step
0.25

Bertahan dari hantaman meteor

Ringkasan

Kompilasi

Pelatihan

Prediksi

Evaluasi

Masalah yang dihadapi

Prediksi ilmiah

Tugas Anda

Mari selamatkan bumi!