Programmer Group

numpy's knowledge is divided into the following eight parts All code runs in jupyter out:Following is the result of running the output Catalog: 1. Arnge and array functions create arrays 2. The shape function returns the dimensions of the arr ...

Recently, the number of low-density population has been estimated, referring to a lot of information. First of all, I want to build a CSRnet for training by myself. The code implementation of this network can be referred to. The paper and code are as follows. Interested parties can do it by themselves ...

Tasks: The part of speech tagging training and testing were carried out using the 1998 People's Daily corpus. Job input: In 1998, the People's Daily Corpus (1998-01-105-tape.txt) used 80% data as training set and 20% data as verification set. Operating environment: Jupyter Notebook, Python3 Method of operation: A simple statistical method is us ...

In-depth learning for beginners (1): The construction of Keras and multi-layer perceptron for beginners 1. Creating environment and installation dependencies As a Python release, Anaconda contains a large number of science packages and its own environment management tool Conda. Conda and Pip are rec ...

  1 Overview In the process of visualization, the default cartographic effect is often unsatisfactory and various settings are expected to be personalized. This article introduces personalization in seaborn visualization through a simple example.Include common settings such as: Set Chart Display Color Set chart title including display p ...

1. What is the Tensorflow model? We know that Tensorflow is composed of tensors and computational models. All computations in Tensorflow are converted to nodes on computational graphs. TensorFlow internally represents the operation process as a data flow graph. When you train a neural network, the system saves the re ...

Chapter 9 Start and Run TensorFlow Source: ApacheCN Translation Project for Sklearn and TensorFlow Machine Learning Practical Guide Translator: @akonwang @WilsonQu Proofreading: @Lisanaaa @Flydragon TensorFlow is a powerful open source software library for numerical computing, especially for fine-tuning of large-scale machine ...

Jupyter-notebook is my favorite tool. The environment is a little troublesome. In fact, the best way to deploy jupyter web is in the cloud. It can be used anywhere at a time. Now the cloud servers are quite expensive. After docker came out, I thought about putting jupyter-notebook in the container. Docker and System Students who have been in ...

Python Science Computing Library-Scipy I. Introduction to Scipy 1.1. Introduction and Installation of Scipy Official website: http://www.scipy.org/SciPy Installation: Open cmd under C: Python 27 Scripts to execute: Execution: pip install scipy 1.2. Installation of Anaconda and Environment Building (Demonstration ...

After installation of Ubuntu 16.04, 1. Install the commonly used software Sogou Input Method + Editor Atom + Browser Chome + Video Player vlc + Image Editor GIMP + Video Recording Software RcordMyDesktop. 2. Development Environment Configuration. JDK Environment Configuration+ Scala Environment Configuration + Noejs Environment Configuration + ...