Windows install the latest version of detector2 (0.6)

1. Environment: win10 64,anaconda3,python3.8,VS2019 2. conda creates a new environment CONDA create - N torch (environment name) python==3.8 activate torch By the way, conda adds the image source of Tsinghua, which is faster conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/ conda config --add channels h ...

Added by Ruchi on Thu, 03 Feb 2022 13:22:03 +0200

Feature preprocessing of TFRS

Common feature processing strategies: User id and item id must be converted into embedded vectorsThe original text needs to be tokenized and translated into embedded textNumerical characteristics need to be standardized By using TensorFlow, we can treat this preprocessing as part of the model rather than a separate preprocessing step. This is ...

Added by charleshill on Thu, 03 Feb 2022 10:07:15 +0200

Network freeze training mechanism of keras

1. Construct neural network Here take the simple cnn network as an example Note: since I frozen the parameters of the output layer in step 2, in order to distinguish it from other layers, I named the output layer "output" when defining the network. If the network is not named with the name attribute in the network, the system wi ...

Added by steanders on Wed, 02 Feb 2022 22:12:50 +0200

Chicken rabbit cage problem of deep learning

preface As one of the nine malignant tumors in primary school, the chicken rabbit cage problem is estimated to be difficult for many people before learning the binary first-order equation. From the perspective of programmers, there are many solutions to the chicken rabbit cage problem, the most common of which are exhaustive method, formula me ...

Added by kevdotbadger on Wed, 02 Feb 2022 20:46:47 +0200

Engineering model: use TensorRT - Accelerated reasoning under Linux to complete the process from environment installation to training deployment

1. Environment and Version Description         ~~~~~~~        ● ubuntu 18.04         ~~~~~~~        ● CUDA 10.0         ...

Added by Beauford on Wed, 02 Feb 2022 15:31:07 +0200

Introduction to TensorFlow basic data types

Introduction to TensorFlow basic data types preface Note in advance: TensorFlow 2.0 is used in this article Version 5.0. In TensorFlow2 After 0, many things in TensorFlow have changed, which is different from 1 The X version has many differences. On the whole, TensorFlow has become more concise, including Session(), placeholders and so on ...

Added by El Ornitorrico on Wed, 02 Feb 2022 09:06:33 +0200

Train an image classifier with one line of code (Luwu Tutorial Series)

Hello, guys, long time no see... (really * long time no see =.) I haven't written a blog for a long time. To apologize, I spent the whole day on the big guys today ~ that's the theme I'm going to talk about this time - Luwu~ So, what is Luwu? It's a spicy chicken open source project written by bencai chicken What's the use of this spicy ch ...

Added by polarbear66 on Tue, 01 Feb 2022 21:25:37 +0200

anaconda configures the tensorflow GPU environment and uses it in the jupyter notebook (two methods: in the command line / anaconda)

This article is about how Anaconda configures the tensorflow GPU environment. It will be through the command line and anaconda. Readers can choose by themselves. let's go! The contents of chapters 1 and 2 in the following table of contents are the same, but the methods are different. Choose one of them. 1, Creating tensorflow virtual enviro ...

Added by Bac on Tue, 01 Feb 2022 13:50:29 +0200

Implementation of keras version of DeepLab-V3 + semantic segmentation Neural Network

Implementation of keras version of DeepLab-V3 + semantic segmentation Neural Network network structure Deeplab series network models are developed from ResNet residual module, and on this basis, they are integrated with the implementation of empty convolution. Compared with Deeplab v3, Deeplab v3 + introduces the encoder decoder structure c ...

Added by phorman on Mon, 31 Jan 2022 09:09:55 +0200

Introduction to Tensorboard and common functions

Tensorboard Tensorboard is a built-in visualization tool of tensorflow. It visualizes the information of the log file output by tensorflow program, which makes the understanding, debugging and optimization of tensorflow program more simple and efficient. The visualization of tensorboard depends on the log file output by the tensorboard program ...

Added by designsubway on Sat, 29 Jan 2022 06:45:05 +0200