sigmoid函数具有平滑性,且导数的值在不同点处不同。 以上就是本期内容,下一期我们将会讲解另外一个激活函数:ReLU函数。 参考 ^Sigmoid函数实际上是一类长得像S的曲线,但是在机器学习领域,一般指的是Logistic函数,可参见下面的wikipedia。 https://en.wikipedia.org/wiki/Logistic_functio
2.sigmoid函数: a. 表达式: y = sigmoid(z)=\frac{1}{1+e^{-z}} b.函数图像:当z越大,y的值越接近于1,当z越小,y的值越接近于0。 2.2.3 python实现 #-*- coding: utf-8 -*- from __future__ import print_function import numpy as np import matplotlib.pyplot as plt from scip...
self.layer1 = sigmoid(np.dot(inputs, self.weights1)) self.output = sigmoid(np.dot(self.layer1, self.weights2)) return self.output # Backpropagation function to train the network def backpropagation(self, inputs, target, learning_rate): output_error = target - self.output d_output = o...
activation: Activation function of the inner states. Default: `tanh`. reuse: (optional) Python boolean describing whether to reuse variables in an existing scope. If not `True`, and the existing scope already has the given variables, an error is raised. name: String, the name of the layer...
Sigmoid Formula: Sigmoid ( x ) = σ ( x ) = 1 1 + exp ( − x ) LogSigmoid Formula: LogSigmoid ( x ) = log ( 1 1 + exp ( − x ) ) Hardsigmoid ReLU Formula: ReLU ( x ) = max ( 0 , x ) ReLU6 Formula: ReLU 6 ( x ) = min ( max ( 0 , x ) , ...
Any other predefined name is either a built-in primitive function such asSigmoid()orConvolution()with a C++ implementation, a predefined library function realized in BrainScript such asBS.RNNs.LSTMP(), or a record that acts as a namespace for library functions (e.g.BS.RNNs). SeeBrainScript...
activation: Activation function of the inner states. Default: `tanh`. reuse: (optional) Python boolean describing whether to reuse variables in an existing scope. If not `True`, and the existing scope already has the given variables, an error is raised. ...
activation: Activation function of the inner states. Default: `tanh`. reuse: (optional) Python boolean describing whether to reuse variables in an existing scope. If not `True`, and the existing scope already has the given variables, an error is raised. ...
BasicLSTMCell 是最简单的LSTMCell,源码位于:/tensorflow/contrib/rnn/python/ops/core_rnn_cell_impl.py。 BasicLSTMCell 继承了RNNCell,源码位于:/tensorflow/python/ops/rnn_cell_impl.py 注意事项: 1. input_size 这个参数不能使用,使用的是num_units ...
To refresh my knowledge, I will attempt to implement some basic machine learning algorithms from scratch using only python and limited numpy/pandas function. My model implementations will be compared to existing models from popular ML library (sklearn) ...