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Holding fireworks to make a living, poetic to seek love catalogue 1. Principle introduction 2. Detailed steps 2.1 data acquisition 2.2 data center (Standardization) 2.3 finding covariance matrix 2.4 calculate eigenvalues and eigenvectors of covariance matrix 2.5 determining the number of principal components 2.6 calculation of princi ...

Link from AI Studio project https://aistudio.baidu.com/aistudio/projectdetail/3537977 Big brother didn't lose! Will to inherit fire~ Elder brother, how can you lose? It's clearly that yiwozuo is playing tricks. Yiwozuo is not allowed to go! I'm huntingOn the way, I'm still a few fork s away. I can catch up with him and avenge my eldest bro ...

Introduction to deep learning (2) - linear units and gradient descent What is a linear unit: There is a problem with perceptron. When the data set is not linearly separable, the "perceptron rule" may not converge, which means that we can never complete the training of a perceptron. In order to solve this problem, we use a derivative ...

1. Data loading PyTorch has developed standard conventions for interacting with data, so it can process data consistently, regardless of image, text or audio. The two main conventions for interacting with data are dataset and data loader. Dataset is a Python class that enables us to obtain the data provided to neural networks. The data load ...

PaddlePaddle+OpenVINO realize human-computer interaction Reprinted from AI Studio Project link https://aistudio.baidu.com/aistudio/projectdetail/3525813 Project display Project description   project reference from HandPose_x , the project is jointly used by paddepadde + openvino to open up the one-stop process of the project from train ...

preface    convolutional neural network has made a breakthrough, and the effect is also very ideal. However, the learning process of convolutional neural network is difficult to explain theoretically, so it has been criticized by many people. Therefore, it is very important to visualize its learning process, and so is the purpose ...

Zero basics pytoch #2 | loading data sets with pytoch Ⅰ. Note target This blog post takes notes on learning the specific practice of pytoch. It is suitable for friends who have a certain theoretical basis for machine learning and in-depth learning but have weak practical ability. This article also focuses on the code practice process, not on ...

class is a production bert_lstm's factory has an initialization function (init) and two instance method function functions (forward, init_hidden) instance method refers to the Bert after processing initialization in the factory_ Function of LSTM There is also a class method, which refers to the function of processing the factory, which is not ...

1, Principle introduction RNN can remember context information, so it is often used to process time series data. In theory, RNN can memorize infinite length of historical information, but due to the accumulation of gradients, the amount of calculation is too large to be operated in practice. Therefore, in practice, RNN can only record the info ...

Introduction to HugeCTR The large-scale sparse training based on parameter server architecture can be said that there has been no new change and progress for several years until the emergence of Baidu's aibox paper and the open source of hugectr developed by nvidia. Finally, we can see that the parameter server architecture has taken anoth ...