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In this paper, we will use the deep learning method (LSTM) to perform multivariate time series prediction.Let's start with two topics——What is time series analysis?What is LSTM?Time series analysis: time series represent a series of data based on time sequence. It can be seconds, minutes, hours, days, weeks, months and years. Future ...

Project address https://aistudio.baidu.com/aistudio/projectdetail/3389378?contributionType=1 The project can fork run with one key. Introduction to competition questions In many large-scale video analysis scenarios, locating and identifying human actions in a short time from lengthy and untrimmed videos has become a subject of great concern ...

Main sources: Mr. Li Mu's pytorch hands-on learning and deep learning (bow and thank you) Record what you have learned every day. Welcome to discuss~ (the dust has finally settled in the senior year, and I am fully engaged in learning during the holiday!) 1. What is regularization? Regularization can be translated as regularization or nor ...

Original link: http://tecdat.cn/?p=24973 brief introductionThe World Health Organization estimates that 12 million people worldwide die of heart disease every year. In the United States and other developed countries, half of the deaths are due to cardiovascular disease. The early prognosis of cardiovascular disease can help decide to change the ...

1. Tensor data type TensorFlow is not so mysterious. In order to adapt to automatic derivation and GPU operation, it came into being. In order to fit with the core data type ndarray of numpy, the core data type is Tensor, which means Tensor in Chinese (generally, it is mathematically divided into scalar, one-dimensional vector and two-dime ...

Catalog 1. Preface 2. References and Basis 3. Why Linear Regression 4. Problem Analysis 1. Modeling 2. Read in data and get output 3. Loss function 4. Optimization algorithm 6. Model training, prediction labels 1. Preface This article is written in the beginning of the author's in-depth learning, but the understanding is still shall ...

1 Theory AlexNet is an 8-layer deep convolution network, which is mainly applied to images. Innovation of the article: In view of too little data, an amplification method is proposed, such as image clipping / flipping, etcFor the activation function, ReLU is used instead of Sigmoid to overcome the difficulty of training Sigmoid function when ...

article Pytorch tutorials [pytorch official tutorial in Chinese and English] - 4 Transforms This paper introduces the use of Transforms for data conversion. Next, let's see how to build a model. Original link: Build the Neural Network — PyTorch Tutorials 1.10.1+cu102 documentation BUILD THE NEURAL NETWORK Neural networks comprise of layers/ ...

0x0. preface This article is used to learn about Interfaces in MLIR. MLIR is a general and extensible framework, which is composed of different levels of conversations with specific attributes, Operation and Type. Because of the hierarchical design of dialogues, MLIR can express operations at multiple semantic and abstract levels. However, th ...

Access, initialization and sharing of model parameters In (a concise implementation of linear regression), we initialize the parameters of the model through the init module. We also introduced a simple way to access model parameters. This section will explain in depth how to access and initialize model parameters, and how to share the same ...