python code

Author: ibyte2011

.vscode/settings.json

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+// 将设置放入此文件中以覆盖默认值和用户设置。
+{
+      // whitelist numpy to remove lint errors
+    "python.linting.pylintArgs": [
+        "--extension-pkg-whitelist=numpy"
+    ],
+    "python.linting.pylintEnabled": false
+}

basic_usage.py

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+#coding:utf-8
+import tensorflow as tf
+#import numpy as np
+matrix1 = tf.constant([[3., 3.]])
+matrix2 = tf.constant([[2.],[2.]])
+
+product = tf.matmul(matrix1, matrix2)
+
+sess = tf.Session()
+
+result = sess.run(product)
+print(result)
+
+sess.close()

first.py

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+#coding:utf-8
+import tensorflow as tf
+import numpy as np
+
+x_data = np.random.rand(100).astype("float32")
+y_data = x_data * 0.1 + 0.3
+
+W = tf.Variable(tf.random_uniform([1],-1.0,1.0))
+b = tf.Variable(tf.zeros([1]))
+y = W * x_data + b
+
+loss = tf.reduce_mean(tf.square(y-y_data))
+optimizer = tf.train.GradientDescentOptimizer(0.5)
+train = optimizer.minimize(loss)
+
+init = tf.initialize_all_variables()
+
+sess = tf.Session()
+sess.run(init)
+
+for step in range(201):
+    sess.run(train)
+    if step % 20 == 0:
+        print(step,sess.run(W), sess.run(b))

interactiveSession.py

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+#coding:utf-8
+import tensorflow as tf
+sess = tf.InteractiveSession()
+
+x = tf.Variable([1.0, 2.0])
+a = tf.constant([3.0, 3.0])
+
+x.initializer.run()
+
+sub = tf.subtract(x, a)
+print(sub.eval())
+
+sess.close()