tf.clip_by_value clip_by_value( t, clip_value_min, clip_value_max, name=None) Defined in tensorflow/python/ops/clip_ops.py. See the guide: Training > Gradient Clipping Clips tensor values to a specified min and max. Given a tensor t, this…
In order to train our model, we need to define what it means for the model to be good. Well, actually, in machine learning we typically define what it means for a model to be bad. We call this the cost, or the loss, and it represents how far off our…
import tensorflow as tfx=tf.constant([-0.2,0.5,43.98,-23.1,26.58])y=tf.clip_by_value(x,1e-10,1.0)sess=tf.Session()print sess.run(y) sess.close() clip_by_value( t, clip_value_min, clip_value_max, name=None) Given a tensor t, this operation…
张量的定义 张量(Tensor)理论是数学的一个分支学科,在力学中有重要应用.张量这一术语起源于力学,它最初是用来表示弹性介质中各点应力状态的,后来张量理论发展成为力学和物理学的一个有力的数学工具.张量之所以重要,在于它可以满足一切物理定律必须与坐标系的选择无关的特性.张量概念是矢量概念的推广,矢量是一阶张量.张量是一个可用来表示在一些矢量.标量和其他张量之间的线性关系的多线性函数(可以理解成是向量.矩阵以及更高维结构的统称). But we don’t have to restrict our…
