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import tensorflow as tf x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] with tf.Session() as sess: a = tf.reshape(x, [2, 2, 3]) a = sess.run(a) print(a) p 阅读全文
posted @ 2020-01-31 21:19
高颜值的殺生丸
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from tensorflow.python.keras.preprocessing.image import load_img,img_to_array def main(): #tagert_size 修改图像大小 image = load_img("./bus/300.jpg",target_ 阅读全文
posted @ 2020-01-31 20:53
高颜值的殺生丸
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posted @ 2020-01-31 20:51
高颜值的殺生丸
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import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' import tensorflow as tf #tensorboard --logdir="./" # 命令行参数 python x.py --max_step=500 tf.app.flags. 阅读全文
posted @ 2020-01-31 19:40
高颜值的殺生丸
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import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' import tensorflow as tf #tensorboard --logdir="./" def linearregression(): with tf.variable_scope(" 阅读全文
posted @ 2020-01-31 19:28
高颜值的殺生丸
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import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' import tensorflow as tf #tensorboard --logdir="./" def linearregression(): with tf.variable_scope(" 阅读全文
posted @ 2020-01-31 19:10
高颜值的殺生丸
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import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' import tensorflow as tf def linearregression(): X = tf.random_normal([100,1],mean=0.0,stddev=1.0) y 阅读全文
posted @ 2020-01-31 18:10
高颜值的殺生丸
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