优达学城 深度学习 任务1

这几天刚好有环境，打算学习一下深度学习
看了一圈介绍，发现优达学城的深度学习课程作为入门课程还是不错的

今天看了第一章节的视频，顺便做了任务1
任务1难度不大，按照网站上的说明可以完成下载、打包等工作

Problem 6 没有给代码，下面是我的代码，供大家参考

import numpy as npimport picklefrom sklearn.linear_model import LogisticRegressionprint 'start load data!'data = pickle.load(open('notMNIST.pickle','rb'))train_features = data['train_dataset']train_labels = data['train_labels']test_features = data['test_dataset']test_labels = data['test_labels']train_len = len(train_features)train_features = train_features.reshape(train_len,784)test_len = len(test_features)test_features = test_features.reshape(test_len,784)print 'start train!'classifier = LogisticRegression()classifier.fit(train_features, train_labels)print 'start predict!'score = classifier.score(test_features,test_labels)print 'The accuray score is %s' % str(score)

训练集大小：30000，测试集大小：10000
实验结果如下，正确率87.94%，正确率还凑活吧，速度挺慢的。

---

参考

• 优达学城 深度学习
• tensorflow/tensorflow/examples/udacity/1_notmnist.ipynb