有监督学习Tensorflow代码框架
30 Jul 2018import tensorflow as tf
def inference(X):
def loss(X, Y):
def inputs():
def train(total_loss):
def evaluate(sess, X, Y):
with tf.Session() as sess:
tf.global_variables_initializer().run()
X, Y = inputs()
total_loss = loss(X, Y)
train_op = train(total_loss)
coord = tf.train.Coordinator()
threads = tf.train.start_queue_runners(sess=sess, coord=coord)
training_steps = 1000000
for step in range(training_steps):
sess.run([train_op])
if step % 10000 == 0:
print("loss: ", sess.run([total_loss]))
evaluate(sess, X, Y)
coord.request_stop()
coord.join(threads)
sess.close()
eg:
import tensorflow as tf
W = tf.Variable(tf.zeros([2, 1]), name="weight")
b = tf.Variable(0., name="bias")
def inference(X):
return tf.matmul(X, W) + b
def loss(X, Y):
Y_predicted = inference(X)
return tf.reduce_sum(tf.squared_difference(Y, Y_predicted))
def inputs():
weight_age = [[84, 46], [73, 20], [65, 52], [70, 30],
[76, 57], [69, 25], [63, 28], [72, 36],
[79, 57], [75, 44], [27, 24], [89, 31],
[65, 52], [57, 23], [59, 60], [69, 48],
[60, 34], [79, 51], [75, 50], [82, 34],
[59, 46], [67, 23], [85, 37], [55, 40],
[63, 30]]
blood_fat_content = [354, 190, 405, 263, 451, 302, 288,
385, 402, 365, 209, 290, 346, 254,
395, 434, 220, 374, 308, 220, 311,
181, 274, 303, 244]
return tf.to_float(weight_age), tf.to_float(blood_fat_content)
def train(total_loss):
learning_rate = 0.0000001
return tf.train.GradientDescentOptimizer(learning_rate).minimize(total_loss)
def evaluate(sess, X, Y):
print(sess.run(inference([[80., 25.]])))
print(sess.run(inference([[65., 25.]])))
with tf.Session() as sess:
tf.global_variables_initializer().run()
X, Y = inputs()
total_loss = loss(X, Y)
train_op = train(total_loss)
coord = tf.train.Coordinator()
threads = tf.train.start_queue_runners(sess=sess, coord=coord)
training_steps = 1000000
for step in range(training_steps):
sess.run([train_op])
if step % 10000 == 0:
print("loss: ", sess.run([total_loss]))
evaluate(sess, X, Y)
coord.request_stop()
coord.join(threads)
sess.close()
Ref: 《面向机器智能的Tensorflow实践》 41%