importnumpyasnp # ... code from previous section here classOurNeuralNetwork: ''' A neural network with: - 2 inputs - a hidden layer with 2 neurons (h1, h2) - an output layer with 1 neuron (o1) Each neuron has the same weights and bias: - ...
importnumpyasnp # ... code from previous section here classOurNeuralNetwork: ''' A neural network with: - 2 inputs - a hidden layer with 2 neurons (h1, h2) - an output layer with 1 neuron (o1) Each neuron has the same weights and bias: - w = [0, 1] - b = 0 ''' def_...
import matplotlib import operator import time def createData(dim = 200, cnoise = 0.2): ''' 生成数据集 ''' x, y = sklearn.datasets.make_moons(dim, noise = cnoise) plt.scatter(x[:,0], x[:,1], s = 40, c=y, cmap=plt.cm.Spectral) return x,y def initSuperParameter(x): ''...
network = OurNeuralNetwork() x = np.array([2, 3]) print(network.feedforward(x)) # 0.7216325609518421 结果正确,看上去没问题。 训练神经网络 第一部分 现在有这样的数据: 接下来我们用这个数据来训练神经网络的权重和截距项,从而可以根据身高体重预测性别: 我们用0和1分别表示男性(M)和女性(F),并对数...
mat=[]foriinrange(m): mat.append([fill]*n)returnmatdefsigmoid(x):return1.0 / (1.0 + math.exp(-x))defsigmod_derivate(x):returnx * (1 -x)classBPNeuralNetwork:def__init__(self): self.input_n=0 self.hidden_n=0 self.output_n=0 ...
code from previous section here class OurNeuralNetwork: ''' A neural network with: - 2 inputs - a hidden layer with 2 neurons (h1, h2) - an output layer with 1 neuron (o1) Each neuron has the same weights and bias: - w = [0, 1] - b = 0 ''' def __init__(self): weigh...
neural network, and code for learning the MNIST dataset#(c) Tariq Rashid, 2016#license is GPLv2#scipy.special for the sigmoid function expit()importscipy.specialimportnumpy#library for plotting arraysimportmatplotlib.pyplot#ensure the plots are inside this notebook, not an external window%...
# python notebook for Make Your Own Neural Network # code for a 3-layer neural network, and code for learning the MNIST dataset # (c) Tariq Rashid, 2016 # license is GPLv2 import numpy # scipy.special for the sigmoid function expit() ...
importnumpyasnp# ... code from previous section hereclassOurNeuralNetwork:'''A neural network with:- 2 inputs- a hidden layer with 2 neurons (h1, h2)- an output layer with 1 neuron (o1)Each neuron has the same weights and bias:- w = [0, 1]- b = 0'''def__init__(self):we...
创建神经网络类|NeuralNetwork Class 我们将在Python中创建一个NeuralNetwork类来训练神经元以提供准确的预测,该类还包含其他辅助函数。我们不会将神经网络库用于创建这个简单的神经网络示例中,但会导入基本的Numpy库来协助计算。 Numpy库是处理数据的一种基本库,它具有以下四种重要的计算方法: ...