Deep neural network hardware GPU single machine multi-card parallel hands-on deep learning v2

Enterprise 2022-04-20 11:00:55 views: null

1. Single-machine multi-card parallel

The GPU mounts too tightly and can easily burn out. In the picture below, it took a month to burn a GPU.
insert image description here

insert image description here

reference

https://www.bilibili.com/video/BV1vU4y1V7rd/?spm_id_from=trigger_reload

Guess you like

Origin blog.csdn.net/zgpeace/article/details/124288165

Deep neural network hardware GPU single machine multi-card parallel hands-on deep learning v2

Deep Learning Hardware: CPU and GPU Hands-on Deep Learning v2

CNN deep convolutional neural network AlexNet hands-on deep learning v2 pytorch

Network with parallel connections GoogLeNet / Inception V3 hands-on deep learning v2 pytorch

Deep learning single machine multi-card/multi-machine multi-card training

hands-on deep learning v2 p2 linear neural network linear regression

Classic convolutional neural network LeNet hands-on deep learning v2 pytorch

CNN convolutional neural network pooling layer Pooling hands-on deep learning v2 pytorch

"Hands-on Learning Deep Learning" Notes (2) Linear Neural Network

Hands-on Deep Learning Notes (2) - Linear Neural Network

MXNet hands-on deep learning notes: GoogLeNet neural network implementation

MXNet hands-on deep learning notes: VGG neural network implementation

MXNet hands-on deep learning notes: convolutional neural network implementation

[Datawhale hands-on deep learning notes] linear neural network

[Hands-on Deep Learning] Li Mu - Convolutional Neural Network

[Hands-on deep learning] Li Mu - Recurrent Neural Network

Deep Learning Hardware: TPU, DSP, FPGA, AI ASIC, Systolic Array Hands-on Deep Learning v2

Network in the network NiN hands-on deep learning v2 pytorch

Hands-on deep learning-pytorch version (2): linear neural network

Hands-on deep learning v2 pytorch using block network VGG

"Hands-on Deep Learning" - Linear Neural Networks

Multi-layer perceptron + code implementation - hands-on deep learning v2 pytorch

Hands-on Deep Learning Notes (37) 7.1. Deep Convolutional Neural Network (AlexNet)

"Hands-on Deep Learning Pytorch Edition" 7.1 Deep Convolutional Neural Network (LeNet)

1. [Hands-on Deep Learning v2] Introduction to Deep Learning

MXNet hands-on deep learning notes: cyclic neural network RNN implementation

Multi-input multi-output channel channel in CNN convolutional layer hands-on deep learning v2 pytorch

Hands-on deep learning [2] - softmax regression

hands-on deep learning v2 p1 introduction supervised learning vs unsupervised learning

"Hands-on Deep Learning"-55 Recurrent Neural Networks

Recommended

Rushing to the GitHub hot list——How can open source programming languages and frameworks be so cute?

Beijing Humanoid Robot Innovation Center launches Tiangong, the world's first full-size humanoid robot with purely electric drive for anthropomorphic running

Ranking

8个无需编写代码即可使用 Python 内置库的方法

Java collections interview knowledge Lite

Machine learning algorithms foundation - Introduction a (watermelon materials for the book)

(Easy) Ransom Note - LeetCode

[Five days] Qt from entry to actual combat: the second day

Remember once extremely pit father can not download Maven Jar package of issues: IDEA question

The minimum cost Shortest

OSPF study map (the most complete version)

Network Takeaways

GnuPG

Daily

2024-04-27(29)

2024-04-26(22)

2024-04-25(32)

2024-04-24(30)

2024-04-23(30)

2024-04-22(5)

2024-04-21(0)

2024-04-20(6)

2024-04-19(5)

2024-04-18(0)