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Panduan Membuat AI dengan TensorFlow Gratis

1. Instalasi TensorFlow

pip install tensorflow

2. Kode Contoh: Klasifikasi MNIST

import tensorflow as tf

# Persiapan Dataset
mnist = tf.keras.datasets.mnist
(x_train, y_train), (x_test, y_test) = mnist.load_data()
x_train, x_test = x_train / 255.0, x_test / 255.0

# Bangun Model
model = tf.keras.models.Sequential([
    tf.keras.layers.Flatten(input_shape=(28, 28)),
    tf.keras.layers.Dense(128, activation='relu'),
    tf.keras.layers.Dropout(0.2),
    tf.keras.layers.Dense(10)
])

# Kompilasi dan Latih
model.compile(
    optimizer='adam',
    loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),
    metrics=['accuracy']
)
model.fit(x_train, y_train, epochs=5)
model.save('mnist_model.h5')

3. Alat Gratis

• Google Colab: https://colab.research.google.com/
• TensorFlow Tutorials: https://www.tensorflow.org/tutorials