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Introduction to MRCP This paper will explain the connection of outbound call system to mrcp (such as iFLYTEK mrcp). First, introduce mrcp: The basic architecture of MRCP, which supports many media resources on the server side. Media resources include various media types. MRCP defines six media resource types: basicsynth, which supports bas ...

os module details When looking at the great gods' code, you can often see the figure of the os module, and then want to make a summary for later viewing The following figure refers to CSDN blogger's "beauty of data analysis and statistics". Thank you very much for the picture Let's introduce the usage of each one in detail: (1) os.g ...

1. Introduction to Q & a system Q & a system is usually divided into: Task robotChat robotSolution robot (customer service robot) The three are designed for different application scenarios: Task based robots are mainly used to complete some specific tasks of users, such as buying air tickets, phone recharge or weather consultati ...

reference resources: Finally write the summary of XGBoost! XGBoost of machine learning algorithm and its automatic parameter adjustment reference resources: How does xgboost handle missing values [fundamentals of machine learning] comparison and parameter adjustment of XGBoost, LightGBM and CatBoost algorithms introduce In 2016, an extensibl ...

Regular season: Chinese News Text Title Classification Baseline(PaddleNLP) 1, Scheme introduction 1.1 introduction to the competition: Text classification is to automatically classify and mark the text set (or other entities or objects) according to a certain classification system or standard with the help of computer. This competition is fo ...

1, Classification of true and false news of American general election based on PaddleNLP (2) classification task based on SKEP model 0. Interpretation Originally, this is all unfinished. I saw someone ask where Er is? I have to say that it has not been made public. I have to fill in the hole I dug with tears. Next time, the title will never d ...

Subject classification of Chinese scientific literature based on feed shot learning In recent years, machine learning and deep learning have achieved success in many fields. However, the success of deep learning model depends on a large number of training data. In the real world, some categories have only a small amount of data or a small amou ...

Learning summary (1) Learn the principle and use of FastText, and divide the data set through 10 fold cross validation. (2) Note fasttext.train_ The returned value result after predicted here is supervised. Because we want the label with the largest probability value, we will find a lump of model. predict (x) [0] [0]. Split ('') [- 1]. Don't p ...

0. Qianyan data set: introduction to text similarity competition Text similarity aims to identify whether two texts are semantically similar. Text similarity is an important research direction in the field of natural language processing. At the same time, it plays an important role in the fields of information retrieval, news recommendation, i ...

Back propagation method in RNN and LSTM models, problem at loss.backward(), After updating the pytorch version, it is prone to problems. Question 1. Use loss.backward() to report an error Trying to backward through the graph a second time (or directly access saved tensors after they have already been freed). Saved intermediate values of the gr ...