sTensorFlow.NET/src/python/xor_keras.py at master · UpDev1010/sTensorFlow.NET · GitHub

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import os

import numpy as np

import tensorflow as tf

os.environ["CUDA_VISIBLE_DEVICES"] = "-1"

print(tf.__version__)

# https://playground.tensorflow.org/

# tf.compat.v1.enable_eager_execution()

# tf.debugging.set_log_device_placement(True);

tf.config.run_functions_eagerly(True)

x = np.array([[ 0, 0 ], [ 0, 1 ], [ 1, 0 ], [ 1, 1 ]])

y = np.array([[ 0 ], [ 1 ], [ 1 ], [ 0 ] ])

model = tf.keras.Sequential()

model.add(tf.keras.Input(2))

model.add(tf.keras.layers.Dense(32, "relu"))

model.add(tf.keras.layers.Dense(1, "sigmoid"))

model.compile(optimizer = tf.keras.optimizers.Adam(),

loss = tf.keras.losses.MeanSquaredError(),

metrics = ["accuracy"])

model.fit(x, y, 1, 100)

result = model.evaluate(x, y)

print(model.predict(x, 4))

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