Let's continue talk about overtraining. The number of training set samples should be much larger than the number of weights roughly for \(N^2\)(N = the number of weights). minimize the number of nodes and layers(weights) noise injection and noise to the…
in order to decide by how much of the result blamed or credited to a particular weight. We need sigmoid function. Sigmoid function = any S-shape function. examples. logistical function \( y=f(s)=\frac{1}{1+e^{- \lambda s}} \), \(\lambda\) decides slope. When \…
This course, I learnt basic pattern recognition , perceptron and an overview of how to train/adjust the perceptron. Here are some basic terms we should know. pattern recognition = feature extraction + classification Feature extraction = find "good" f…
I am going to record my course notes for a basic machine learning course, Natural Computation Methods for Machine Learning ( 1DL073 ). There are some course notes and personal understanding. I will not show full slides and provide the e-book of literature. How…
[author]博主前一段时间一直在做嵌入式开发学习,苦于一些廉价传感器的差质量，我的项目一直停滞在demo阶段。遇到了较大的瓶颈，我决定暂时放一放，开始直接入手信息处理层。暑期的数学建模中，我也感觉自己对于数据的处理能力还欠缺，遂开始恶补基础。开始《线性代数》《离散数学》《集体编程的智慧》《廖雪峰的python2.7教程》《机器学习实战…
