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stay Introduction to PyTorch's deep learning practice notes 12 - Fundamentals of circular neural network RNN is briefly introduced in. In the next 13 lectures, we introduce an application of neural network: implementing a classifier of cyclic neural network. 1 RNN Classifier – Name Classification Use RNN as a classifier. Look at this que ...

Initial value of weight (the pit here is too deep. This article is just an introduction to in-depth learning and will not pursue theory in detail) In the learning of neural network, the initial value of weight is particularly important. In fact, what kind of weight initial value is set is often related to the success of neural network lea ...

Previously on: I also need PCL_ ROS and PCL, in which PCL is installed_ ROS is to supplement two packages after installing ROS: PCL conversions PCL_ ROS, and then install PCL separately. If you use the classical method Ubuntu18.04 installing PCL (detailed tutorial) If PCL is installed, it will lead to the conflict of VTK package, that is, PCL ...

preface With the rapid development of wechat, communication in work and life also depends more on it. However, due to the formality and standardization of e-mail, it is still irreplaceable. However, whether it is the internal work mailbox or personal mailbox of the enterprise, it always receives all kinds of spam, including merchants' advertis ...

1, Introduction to speech processing (with course assignment report) 1 Characteristics of voice signal Through the observation and analysis of a large number of voice signals, it is found that voice signals mainly have the following two characteristics: ① In the frequency domain, the spectral components of speech signals are mainly concentrate ...

🐱 Medical text generation based on CNN-RNN This project uses resnet101 network pre trained by IMAGENET to extract image features, The image features are input into LSTM to generate a text description of the image. The simple generation from image to text is preliminarily realized. 📖 0 project background With the rapid development of ...

1 data preprocessing Data preprocessing is roughly divided into three steps: data preparation, data conversion and data output. 1.1 formatted data Scikit learn provides two standard data formatting methods, Fit and Multiple Transform and combined fit and transform. It is recommended to give priority to Fit and Multiple Transform methods. 1. ...

[Kaggle] Telco Customer Churn Telecom user churn prediction case Part III introduction    in the second part of the case, we introduce in detail the common feature transformation methods, some of which are necessary for model training, such as natural number coding and unique heat coding, while some methods focus on improvin ...

support vector machine In the case of linear separability, the data point closest to the separation hyperplane in the sample points of the training data set is called support vector. The cost function and logistic regression are similar: Also known as large interval classifier, it can find the best linear classification position: The phys ...

The 10th scheme of propeller RNA structure prediction competition Team name: white crane with bright opposite wings and black bear flying Twin Oars Members: Liu Jianjian, Shi Jingwei, Xiang Jianbiao, Yang Jingli score: 3.722 rmsd_avg:0.269 rmsd_std:0.067 Introduction to competition questions "RNA base unpaired probability" measur ...