Keras implements English to Chinese machine translation seq2seq+LSTM

The model implements the translation from English to Chinese. In order to better show the figure of model architecture borrowing Tycoon (embeddings are not used here): The complete code of this article: Github catalog 1, Processing text data 1. Get sentences before and after translation 2. Crea ...

Posted by Davidc316 on Tue, 23 Jun 2020 02:28:55 -0700

DNS service of domain name system

)] What is DNS? Domain Name System is the phone book of the whole Internet. It can translate the domain name that can be understood into the IP address that can be understood by the machine, so that Internet users no longer need to directly contact the IP address that is difficult to read and understand. The domain name system is very imp ...

Posted by gskaruz on Mon, 22 Jun 2020 23:16:42 -0700

Python core

Python orchestration Basics Co programming is a way to realize concurrent programming example Simple reptiles import time def crawl_page(url): print('crawling {}'.format(url)) sleep_time = int(url.split('_')[-1]) time.sleep(sleep_time) print('OK {}'.format(url)) def main(urls): ...

Posted by jerastraub on Mon, 22 Jun 2020 22:14:24 -0700

Tensorflow Implements Forward Propagation of Neural Networks

We envision a neural network with two input s, one hidden layer in the middle, three neurons in the hidden layer, and one output. The following is an example:       Before implementing the forward propagation of this neural network, let's add some important knowledge. Initialization of weights w and input We initialize the weight w by g ...

Posted by RichterBelmont on Mon, 22 Jun 2020 17:52:10 -0700

The analysis of the screen in the hidden corner, the production of the word cloud, to see how the audience's evaluation of the play

preface The text and pictures of this article are from the Internet, only for learning and communication, not for any commercial purpose. The copyright belongs to the original author. If you have any questions, please contact us in time for handling. Recently, there is a very popular suspense and reasoning play: the secret corner. Douban scored ...

Posted by gottes_tod on Sun, 21 Jun 2020 23:53:42 -0700

[pytorch] transform resnet into a full convolution neural network to adapt to different input sizes

Why is resnet input certain? Because resnet finally has a full connection layer. Because of this full connection layer, the size of the input image must be fixed. What are the limitations of a fixed input size? The original resnet will scale the image to 224 × 224 on the imagenet dataset, but there are some limitations in doing so: (1 ...

Posted by pcjackson06 on Sun, 21 Jun 2020 21:45:52 -0700

Solutions to the problem of wifi equipment not working properly after the upgrade of centos 7.5

Yesterday, I ran yum upgrade on the mini computer centos 7.5, which I just got. After restarting, I found that wifi can't connect to the Internet, so I studied it. First, use the ip addr command to view the list of available network devices. If there is no wifi device, you can only see the lo device and two wired network cards: [root@localhost ...

Posted by d401tq on Sun, 21 Jun 2020 20:12:04 -0700

Analysis and prediction of Telecom user churn

Analysis and prediction of Telecom user churn 1, Project background 2, Analysis purpose 3, Data source 4, Ask questions 5, Analysis process 6, Understanding data 1. Feature understanding 2. Import data 3. Data transformation 7, User churn analysis 1. Analysis of loss proportion 2. User attribute a ...

Posted by Envex on Sun, 21 Jun 2020 20:06:40 -0700

Tensorflow2 Custom Dataset Pictures Complete Picture Classification Task

For image tasks of custom datasets, the general process is generally divided into the following steps: Load data Train-Val-Test Build model Transfer Learning Most of the energy will be spent on data preparation and preprocessing. This paper uses a more general data processing method, and builds a simple model, a deeper resnet ...

Posted by angershallreign on Sun, 21 Jun 2020 17:17:49 -0700

Paddle reinforcement learning from introduction to practice (Day4) solving RL: PG algorithm based on policy gradient

Value based and decision based In reinforcement learning, there are two kinds of methods, one is based on value and the other is based on policy The typical representative of the value based algorithm is Q-learning and SARS a, which optimizes the Q function to the best, and then selects the best s ...

Posted by Jaguar on Sun, 21 Jun 2020 01:06:56 -0700