Programmer Think

Recently, I studied the knowledge of artificial intelligence image recognition, using the famous tensorflow tool. At the same time, in order to avoid repeated wheel building, I used the object detection api implemented by Google to realize image recognition. The download address is as follows: https://github.com/tensorflow/models In fact, ther ...

catalogue 1 particle swarm optimization 2 two dimensional environment modeling 3 path planning 3.1 initialization 3.2 fitness function  ​3.3 simulation results 1 particle swarm optimization yes Particle swarm optimization The summary is as follows: particle swarm optimization algorithm is a population-based search process, in whic ...

1. Theoretical part 1.1 K nearest neighbor method 1． k k k-nearest neighbor method is a basic and simple classification and regression method. k k The basic method of k-nearest ...

Elastic supervised learning enables you to train machine learning models based on the training examples you provide. Then, you can use your model to predict the new data. This article summarizes the end-to-end workflow of the training, evaluation, and deployment model. It outlines the steps required to identify and implement a solution using su ...

1. Hype-V virtual machine installation openEuler There are many virtual machine platforms, such as vmware, Hype-V, VirtualBox, etc. Considering the compatibility with wsl2, Hype-V is selected here to install the x86 architecture openEuler Turn on the hype-v virtual machine Download the x86 architecture openEuler image Open the openEuler of ...

Abstract: this project is a deep learning flower recognition and detection system based on keras VGG16 model fine-tuning. It uses cv2 and numpy libraries in Python language to preprocess images, uses keras ImageDataGenerator for data enhancement, and uses Pyqt5 to realize functional visualization, which is convenient for users to detect images. ...

1, Calculation diagram 1. Forward 2. Reverse 3. Complexity The computational complexity of both forward and reverse is O (n). Because you need to traverse the graph to calculate the gradient. The memory complexity in the forward direction is O (1), while that in the reverse direction is O (n), because the reverse direction requires one ...

Research and reproduction of time A * algorithm based on neural network prediction 1. Thesis reading and information extraction 1.1 construction of road network topology Weighted directed graph The intersection is the vertex of the graph, and the road is the edge of the graph. The topology information needs to be stored: [node type] N ...

Original blog post: minfanphd Day 61: decision tree (1. Preparation) Decision tree is the most classical machine learning algorithm Actually, I don't want to add "one" after it It has very good interpretability There is only one copy of the data The split data subset only needs to save two arrays: availableInstances and availabl ...

apply series functions Hello, everyone. I want to be a big dinosaur 🦖 My birthday letter Xiaobai. Praise first and then see. Form a habit. Little friends who haven't paid attention don't get lost. Today, let's talk about the apply series functions in R language preface In R language, apply series functions can apply function operati ...