# 测试xw+b
import tensorflow as tf
x = tf.Variable(tf.constant(3.0, shape=[5, 5]))
w = tf.Variable(tf.constant(4.0, shape=[5, 8]))
b = tf.Variable(tf.constant(5.0, shape=[8]))
h = tf.add(tf.matmul(x, w), b)
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
print(x.eval())
print(w.eval())
print(b.eval())
print(h.eval())
# [[3. 3. 3. 3. 3.]
# [3. 3. 3. 3. 3.]
# [3. 3. 3. 3. 3.]
# [3. 3. 3. 3. 3.]
# [3. 3. 3. 3. 3.]]
# [[4. 4. 4. 4. 4. 4. 4. 4.]
# [4. 4. 4. 4. 4. 4. 4. 4.]
# [4. 4. 4. 4. 4. 4. 4. 4.]
# [4. 4. 4. 4. 4. 4. 4. 4.]
# [4. 4. 4. 4. 4. 4. 4. 4.]]
# [5. 5. 5. 5. 5. 5. 5. 5.]
# [[65. 65. 65. 65. 65. 65. 65. 65.]
# [65. 65. 65. 65. 65. 65. 65. 65.]
# [65. 65. 65. 65. 65. 65. 65. 65.]
# [65. 65. 65. 65. 65. 65. 65. 65.]
# [65. 65. 65. 65. 65. 65. 65. 65.]]
xw+b
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转载自blog.csdn.net/xky1306102chenhong/article/details/81138264
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