caffe installation from darknet to caffmodal of Hisilicon Hi3519AV100 deep learning scheme (based on Ubuntu 16.04 + Python 3.5 + opencv3.4.0 + cuda10.0)

Article catalogue preface Reference blog https://blog.csdn.net/tingtie1438/article/details/82085199 Ubuntu16. Python 3.04 system 5+caffe+opencv3. 4.0+cudnn7. 0+cuda9. 0 installation process (detailed arrangement of the whole process) https://blog.csdn.net/qq_42998120/article/details/105567998 ubuntu16. Installation and version correspondence ...

Added by Quevas on Thu, 27 Jan 2022 04:49:55 +0200

How to use Ubuntu 18 Install caffe+darknet2caffe environment on 04

For Ubuntu installation, please refer to< How to quickly install Ubuntu 18 04> For the configuration of samba service, please refer to< How to configure Samba service in Ubuntu> 0. You need to download and install torch when installing Darknet 2caffe environment When executing pip3 install torch, it will always be killed, so you ...

Added by simon_belak on Thu, 20 Jan 2022 16:55:16 +0200

Configure Caffe deep learning environment for the latest version of Ubuntu 20.04 in 2021

preface This article was written on July 15, 2021. If there is an error in the configuration according to the method in this article, please pay attention to whether it is too far away from the writing time. Make sure your PC graphics card is NVIDIA. This article does not apply to AMD graphics cards and Intel integrated graphics cards. 1, Up ...

Added by Xurion on Wed, 19 Jan 2022 20:22:40 +0200

TI deep learning (TIDL) -- 3

1.4. Training As long as layers are supported and parameter constraints are met, existing cafe and TF slim models can be imported. However, these models usually include dense weight matrices. In order to take advantage of some advantages of tidl lib and obtain 3x-4x performance improvement (for convolution layer), it is necessary to use caffe J ...

Added by mikeatrpi on Sun, 03 Oct 2021 02:06:04 +0300

Classic network architecture of deep learning: AlexNet

1, Introduction Alex net was designed by Hinton, the winner of the 2012 ImageNet competition, and his student Alex Krizhevsky. Also after that year, more and deeper neural networks were proposed, such as the excellent VGg and Google lenet. The accuracy of the official data model is 57.1% and the top 1-5 is 80.2%. This is quite excellent for th ...

Added by intermediate on Thu, 30 Sep 2021 01:30:52 +0300