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ex3
- 基于BP神经网络识别字符. BP神经网络算法是把一组样本输入输出问题转化为一个非线性优化问题，并通过梯度算法利用迭代运算求解权值的一种学习方法。采用BP网络进行分类，并附加线性感知器来实现单字符的有效识别，算法简便，识别率高，可适用于多种高噪声环境中的印刷体字符识别。-BP neural network based character recognition. BP neural network algorithm is a set of sample input and output is
mlclass-ex3
- 斯坦福大学机器学习公开课程第三讲matlab实现作业--多逻辑回归和神经网络表示。-Stanford Machine Learning public speaking courses third matlab realize the job- and more logistic regression and neural network representation.
ex3-003(Week4)_finished
- coursera andrew Ng machine learning course on the second programming assignments answers
mlclass-ex3
- 斯坦福机器学习公开课，第三次练习作业，向量化实现，logistic分类和神经网络-Stanford open class machine learning, the third practice operations, to quantify the realization, logistic and neural network classification
machine-learning-ex3
- Stanford机器学习练习3 regularized linear regression 包含代码和讲解-Stanford Machine Learning Exercise 3 regularized linear regression contains the code and explain
machine-learning-ex3
- 斯坦福大学机器学习第3次作业 可供参考 100分-Stanford Machine Learning 3rd job for reference 100
ex3
- NG发表在coursera上的机器学习公开课Week3课后作业 只是第三周的作业-marchine learning week three
machine-learning-ex3
- 斯坦福大学机器学习课程作业第三章，主要包含人工神经网络算法初阶实战。-Stanford University machine learning course work The third chapter, mainly contains the artificial neural network algorithm initial combat.
ex3
- 机器学习 3、正则化的线性回归 开发环境Octave-Programming Exercise 3: Regularized Linear Regression and Bias v.s. Variance Machine Learning
ex3--finished
- 吴恩达机器学习第一个编程练习,使用octave语言练习。(Coursea---machine learning!)
吴恩达作业3ex3
- 吴恩达机器学习ex3练习题及数据集.包含吴恩达课后作业及英文讲解.