你可以在Github 找到下面完整的代码(A naive example)。 今天的目标是实现一个Dense隐藏层网络，来实现一个二分类器。 数据实例 首先我们从一个分类问题开始。我们对同方差不同均值的两个二维高斯分布进行抽样，生成两簇数量各是200的数据集。 import numpy as np import matplotlib.pyplot as plt from Dense import Dense Asamples = np.random.multivariate_normal([6, 6], [[1, …
SemiFlow SemiFlow is a neural network framework for machine learning. I am going to implement a basic deep learning framework in about a month. I will record the experience at my blog in Chinese. 我已经使用Tensorflow和keras好些年， 并且最近完成了"Statistical machine learning",…
Natural Computation Methods for Machine Learning Note 13 Properties of EC EC is parallel search (many balls in the landscape). Want to prevent all individuals from converging to the same solution (premature convergence – a common problem) The task of mutation …
Natural Computation Methods for Machine Learning Note 12 From course, I learned Evolutional Computing. Evolutionary computing (EC) population method Used for problems where the task is to maximize some measure of success Same family of problems as in RL, but v…
Hello everyone! 这篇文章将介绍Dice coefficient以及其实现 Introduction Dice coefficient 是 Lee R. Dice 在1945年为评估生物种群提出的一种度量方法[1]。后来不同领域的学者都将其引入到自己的专业。这里，我将介绍Dice codfficient 在图像分割领域作为评价指标的理解与实现。 Segmentation 图像分割包含有语义分割、示例分割。在语义分割中，我们需要对给定的图片做如下处理： - 标记出所有属于背景类别的点。 - 标记出属于我…
Natural Computation Methods for Machine Learning Note 11 Let us firstly revisit completive learning and SOFM Review CL and SOFM A node position (in the input space) is its weight vector, i.e. nodes move around in the same space as the data. Purpose of unsuperv…
Natural Computation Methods for Machine Learning Note 10 In this note, we are going talk about Deep Learning very briefly. Radial Basis Function Networks RBFNs are feedforward networks, where: The hidden nodes (the RBF nodes) compute distances, instead of weig…
Unsupervised Learning To learn from unlabeled data (only inputs, no target information). Most often for classification. Requires that class membership can be detected by structural properties (features) in the data, and that the learning system can be fund the…
Natural Computation Methods for Machine Learning Note 08 ex) Tic-Tac-Toe Assign value to each board position (state): +1 if the state is a winning terminal state. 0 if the state is a losing terminal state +0.5 to all other states (terminal and non–terminal) pl…
