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Since many frameworks and suites have stopped supporting CUDA 10.0, CUDA 10.0 will be installed as originally 0's server is reconfigured cuda10 2 and new drive Original drive unloading 1. Stop X Server sudo service lightdm stop 2. Uninstall the previous Driver sudo /usr/bin/nvidia-uninstall After uninstallation is completed, enter N ...

preface We will release Triton 1.0, an open source Python like programming language that enables researchers without CUDA experience to write efficient GPU code - in most cases equivalent to the code generated by experts. Triton makes it possible to reach the peak of hardware performance with relatively little effort; For example, it can b ...

Source: Hengyuan cloud community( Hengyuan cloud, a shared computing platform focusing on AI industry) Original address| Text data enhancement Original author Jiao Hui Recently, I was doing news headline classification and found an article with data enhancement to learn: One is enough! Overview of data enhancement methods This paper implem ...

Realize the step-by-step deepening from manual derivation to automatic derivation and then to the model. Implementation of two-layer neural network with numpy A fully connected ReLU neural network, a hidden layer, no bias, L2 Loss (h is hidden layer, ReLU activation function): h ...

In previous articles, we introduced some knowledge based on genetic algorithm. This article will use genetic algorithm to process machine learning model and time series data.Super parameter adjustment (TPOT)Automatic machine learning (Auto ML) helps us find the most suitable model for prediction by automating the whole machine learning process. ...

[source code analysis] machine learning parameter server PS Lite (2) -- communication module Van 0x00 summary This is the second part of the parameter server series, which introduces the communication module Van of PS Lite. Other articles in this series are: [source code analysis] machine learning parameter server PS Lite (1) -- postoff ...

First clarify the meaning of several common nouns: batch, epoch and iteration Batch: usually, we divide a data set into several small sample sets, and then feed a small part to the neural network for iteration. Each small part of the sample is called a batch. Epoch: all the data in the training set are trained completely in the model (including ...

Through the previous practice of in-depth learning, whether it is the CNN network built by ourselves or the official network model called through migration learning, it has its advantages and disadvantages. This experiment calls various common CNN network models to understand their characteristics and compare the accuracy of classification for ...

1, Background introduction 1.1 introduction to data set The Anime dataset used in this actual combat is PNG picture of "high definition animation character Avatar". The pictures are 64x64 color pictures, a total of 21551. The examples of the pictures are as follows: 1.2 model introduction The "generation countermeasure ...

Recently I needed to use the saliency map, studied it for a long time, took a note What does saliency map do? The saliency map can be understood as a feature map to measure the impact of the characteristics of each pixel point in the image on the classification results. Looking at the image below, you can see that the outline of the dog in th ...