maxzcl的博客

easures o。

DeConv fundamentals

For beginners, the most daunting aspect of deep learning algorithms is perhaps Back-Propagations (BP) which require derivations of some highly complex mathematical expressions.Luckily when actually implementing BP, we do not have to rely on smmary symbolic

Summary:双线性插值(Bilinear Interpolation) - 马语者 - 博客园Intro:一篇文章为你讲透双线性插值 - 知乎双线性插值(Bilinear Interpolation)：双线性插值是用原图像中4(2*2)个点计算新图像中1个点，效果略逊于双三次插值，速度比双三次插值快，属于一种平衡美，在很多框架中属于默认算法。1. Nearest Interpolation最近邻法不需要计算只需要寻找原图中对应的点，所以最近邻法速度最快，但是会破坏原图像中.

efficientaccurate。

all taken from WikipediaRChttps://en.wikipedia.org/wiki/RC_circuitusingKirchhoff's current lawSeries Circuithere we exploit reactance/impedance, see later in capacitor section.s is for "second", since Q = I * t, C = Q/V ==> 1/C ~ Oh...

Cross Entropyhttps://en.wikipedia.org/wiki/Cross_entropyCross Entropy Losshttps://towardsdatascience.com/cross-entropy-loss-function-f38c4ec8643eA Gentle Introduction to Cross-Entropy for Machine Learning

RoI is a technique/layer introduced in Fast-RCNN paper:https://arxiv.org/abs/1504.08083here is an easy to read intro:Understanding Region of Interest (RoI Pooling) - Blog by Kemal Erdem==> in short, RoI projection shrinks RoI after CNNpre-proces..

Main Article==> this is a great introductary article with visual cues about the statistical regularization techniques.https://en.wikipedia.org/wiki/Lasso_(statistics)(secondary title: Complete Guide Using Scikit-Learn)Moving on from a very impor

SOTA* Overview*[Submitted on 31 Jan 2021]Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networkshttps://arxiv.org/abs/2102.00554The growing energy and performance costs of deep learning have driven th.

Introhttps://en.wikipedia.org/wiki/Physics-informed_neural_networksPhysics-informed neural networks(PINNs) are a type of universal function approximators that can embed the knowledge of any physical laws that govern a given data-set in the learning p.

Understanding the backward pass through Batch Normalization LayerFlair of Machine LearningPosted on February 12, 2016(for intro and howit possibly could work, see: Batch Normalization_EverNoob的博客-优快云博客)(for a concise mathematical solution, see: B.

Wiki Introhttps://en.wikipedia.org/wiki/Batch_normalization==> this wiki article is techinical enough for further reference on related concepts and deeper looksBatch normalization(also known asbatch norm) is a method used to makeartificial neu...

fromMeasures of Central Tendency: The meansJ Pharmacol Pharmacother.2011 Apr-Jun; 2(2): 140–142.doi:10.4103/0976-500X.81920PMCID:PMC3127352PMID:21772786Measures of central tendency: The meanS. ManikandanAuthor informationCopyright and ...