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 ...
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): ''...
importnumpyasnp # ... code from previous section here classOurNeuralNetwork: ''' A neural network with: - 2 inputs - a hidden layer with 2neurons(h1, h2) - an output layer with 1 neuron (o1) Each neuron has the same weights and bias: - w = [0, 1] - b = 0 ''' def__in...
CNN is the best artificial neural network technique, it is used for modeling images but it is not limited to just modeling of the image but out of many of its applications, there is some real-time object detection problem that can be solved with the help of this architecture. There ar...
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%...
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 ...
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...
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...
# ... 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:
# ... 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: ...