Programmer Think

1. Preface This case is an online learning course purchased a long time ago. Recently, when I suddenly think of it, I realize to record it. Today, with the gradual flow of deep learning, the application of HOG+SVM custom object recognition may not be very large, but in a fixed scene, if the size of custom objects in the image is relatively con ...

Background knowledge required for reading this article: ridge regression, Lasso regression and a little programming knowledge1, Introduction    we learned two regularization methods of ridge regression and lasso regression. When multiple features are related, Lasso regression may select only one of them randomly, and ridge regression ...

Background knowledge required for reading this article: linear regression algorithm and yidui programming knowledge1, Introduction   in the previous section, we learned that one method to solve multicollinearity is to regularize the cost function. One regularization algorithm is called Ridge Regression Algorithm. Let's learn another r ...

TCN from "ABA ABA" to "balabalabala" The concept of TCN (why? What problems can be solved)TCN's parents (origin)Introduction to the principle of TCNCode! 1. What is TCN (time domain convolution network, time convolution network) and what can it do Main application directions: Time series prediction, probability predict ...

1, Overall structure All neurons in the adjacent layer of neural network are connected, which is called full connection. Previously, the full connection was realized with the affinity layer. for instance Fully connected neural network structure: Structure of convolutional neural network CNN: The Conv convolution layer and Pooling l ...

Abstract: This article will explain the process of natural language processing in detail, the emotion classification algorithm based on machine learning and TFIDF, and compare various classification algorithms (SVM, RF, LR, Boosting) This article is shared from Huawei cloud community< [Python artificial intelligence] 23 Emotion classificatio ...

Open source projects: Project address: https://github.com/Microsoft/AutonomousDrivingCookbook Localization project: https://gitee.com/zhoushimin123/autonomous-driving-cookbook Step 1 - model training Now that we have some sense of the data being processed, we can start designing our model. In this notebook, we will define the network architec ...

Article catalog 1. Algorithm efficiency2. Time complexity3. Space complexity 1.1 algorithm efficiency There are two kinds of algorithm efficiency analysis: the first is time efficiency and the second is space efficiency. Time efficiency is called time complexity, Spatial efficiency is called spatial complexity. The time complexity main ...

Background knowledge required for reading this article: perceptron learning algorithm and yidui programming knowledge1, Introduction   in the previous section, we learned the machine learning algorithm series (I) - perceptron learning algorithm (PLA), which can perfectly divide the data set into two types, but one prerequisite is that ...

what is perceptron The perceptron receives multiple input signals and outputs one signal. Perceptron receiving two signals, as shown in the following figure: x1 and x2 are input signals; y is the output signal; w1 and w2 are weights. Circle O represents "neuron" or "node". **Neurons are activated: * * when x1w1+x2 ...