Xiao_yanling的博客

1.Softmax

import numpy as np import matplotlib.pyplot as plt x_data=[338,333,328,207,226,25,179,60,208,606] y_data=[640,633,619,393,428,27,193,66,226,1591] #y_data=b+w*x_data x=np.arange(-200,-100,1)#bias y=n...

用Python Sklearn包做线性回归： import numpy as np import pandas as pd from sklearn.linear_model import LinearRegression from sklearn import metrics import matplotlib.pyplot as plt # 数据集 X=pd.read_csv('X8.csv'...

用Python Sklearn包构建SVR模型。 from __future__ import division import time import pandas as pd import numpy as np from sklearn.svm import SVR from sklearn import metrics from sklearn.model_selection import ...

用TensorFlow创建FNN神经网络模型，梯度下降采用Adagrad，使用dropout防止过拟合，尝试保存模型再调用的操作。 import tensorflow as tf import numpy as np import pandas as pd import matplotlib.pyplot as plt from sklearn import metrics #定义读取数据的函数...

Keras是由纯python编写的基于theano/tensorflow的深度学习框架。 `` Demo: import numpy as np from keras.models import Sequential from keras.layers.core import Dense,Dropout,Activation from keras.layers import Conv2D,Max...

Word2Vec 练习题 yo^=P(o∣c)=exp(uoTvc)∑w=1Vexp(uwTvc)\widehat{y_o}=P(o|c)=\frac{exp(u_o^Tv_c)}{\sum^V_{w=1}exp(u_w^Tv_c)}yo​​=P(o∣c)=∑w=1V​exp(uwT​vc​)exp(uoT​vc​)​ ooo：输出词汇索引 ccc：中心词汇索引 vcv_cvc​：中心词汇向量...

import numpy as np import random from data_utils import * from q1_softmax import softmax from q2_gradcheck import gradcheck_naive from q3_sgd import load_saved_params def getSentenceFeature(tokens...