python–tensorlow。渐变色带. watch()
哎哎哎:# t0]https://www . geeksforgeeks . org/python-tensorlow-gradienttape watch/
TensorFlow 是谷歌设计的开源 Python 库，用于开发机器学习模型和深度学习神经网络。
手表()用于开始通过磁带追踪张量。
语法:手表(张量)
参数:
- 张量:是要观察的张量或张量列表。
返回:无
加注:
- 值错误:如果传递参数不是 Tensor，它将引发值错误。
例 1:
Python 3
# Importing the library
import tensorflow as tf
x = tf.constant(4.0)
# Using GradientTape
with tf.GradientTape() as gfg:
# Starting the recording x
gfg.watch(x)
y = x * x
# Computing gradient
res = gfg.gradient(y, x)
# Printing result
print("res: ", res)
输出:
res: tf.Tensor(8.0, shape=(), dtype=float32)
例 2:
Python 3
# Importing the library
import tensorflow as tf
x = tf.constant(4.0)
z = tf.constant(5.0)
# Using GradientTape
with tf.GradientTape(persistent = True) as gfg:
# Starting the recording x and z
gfg.watch([x, z])
y = z * z
u = x * x
# Computing gradient
grad_y = gfg.gradient(y, z)
grad_u = gfg.gradient(u, x)
# Printing result
print("grad_y: ", grad_y)
print("grad_u: ", grad_u)
输出:
grad_y: tf.Tensor(10.0, shape=(), dtype=float32)
grad_u: tf.Tensor(8.0, shape=(), dtype=float32)
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