5 min NLP: fine tune BERT using HuggingFace and visualize using TensorBoard
In the previous article, we have introduced the main classes of Hugging Face. In this article, we will introduce how to use Hugging Face to fine tune BERT and classify comments. It includes the usage of AutoTokenizer, AutoModel, Trainer, TensorBoard, dataset and indicators.In this article, we wUTF-8...
Posted by Tedglen2 on Thu, 10 Mar 2022 07:37:29 +0530
[neural network] (12) mobile netv2 code reproduction, network analysis, with Tensorflow complete code attached
Hello, everyone. Today, I'd like to share with you how to use Tensorflow to reproduce Google's lightweight neural network MobileNetV2. In the previous article, I introduced MobileNetV1 and discussed deep separable convolution. Those interested can see: https://blog.csdn.net/dgvv4/article/detailUTF-8...
Posted by jkurrle on Fri, 11 Mar 2022 09:04:38 +0530
Domain adaptive fast RCNN GitHub reproduction notes
Domain adaptive fast RCNN GitHub reproduction notes 1. Project code link: Link: da-faster-rcnn-Pytorch. 2. Environment configuration (very important) 2.1. summary The reproduction of Da fasterrcnn mainly works on the configuration of the environment. At present, most of the paper and github relUTF-8...
Posted by lexx on Fri, 11 Mar 2022 15:48:21 +0530
Win10 + Anaconda + tensorflow CPU + pychart installation tutorial
Transfer from https://www.cnblogs.com/gshang/p/12033628.html Basic concepts Python2.x or Python3.x Since the birth of Python language in the early 1990s, it has been updated iteratively. According to the emergence period, it can be divided into Python 2 X and python 3 X two major versions. AmoUTF-8...
Posted by mash on Fri, 11 Mar 2022 17:32:28 +0530
Hands on learning and deep learning -- zero start code implementation of linear regression
Implementation of linear regression from zero After understanding the key idea of linear regression, we can start to realize linear regression through code. In this section, we will implement the whole method from scratch, including data pipeline, model, loss function and small batch random graUTF-8...
Posted by nicandre on Fri, 11 Mar 2022 20:58:35 +0530
Implementation of classic CNN: lenet, alexnet and vggnet
Implementation of classic CNN: lenet, alexnet and vggnet In the development of convolutional neural networks, many classical network structures have appeared. The proposal of these CNN classical networks has greatly promoted the development of the field. Here, we will use TensorFlow to build thUTF-8...
Posted by mattastic on Sat, 12 Mar 2022 05:04:03 +0530
[architecture analysis] Tensorflow Internals source code analysis 2 - calculation diagram creation and execution
catalogue summary Sample sample GPU device creation Calculation chart creation and execution summary This paper is based on tensorflow R1 15 source code link Through the Sample example, focus on the internal principle of the creation and execution of calculation diagram. Sample sample import teUTF-8...
Posted by bluejay002 on Sun, 13 Mar 2022 11:24:01 +0530
AI ball battle: go bigger multi-agent decision intelligence challenge
Competition website: https://www.datafountain.cn/competitions/549 repo: https://github.com/opendilab/Gobigger-Explore/ Beginner level chapter Description of competition questions This competition adopts Go-Bigger As a game environment. Go bigger is a multiplayer competitive game. Refer to the gUTF-8...
Posted by odtaa on Mon, 14 Mar 2022 22:24:57 +0530
FCN implementation of semantic segmentation - pytoch
catalogue 1. Semantic segmentation 2. Introduction to FCN 3. FCN realizes semantic segmentation 3.1. Network model 3.1.1 model initialization 3.1.2. Weight initialization 3.1.3 forward calculation 3.2. Data set 3.2.1. User defined Dataset 3.2.2 one hot coding 3.2.3 data preprocessing - Data TraUTF-8...
Posted by smarlowe on Tue, 15 Mar 2022 04:42:33 +0530
FCN implementation of semantic segmentation - pytoch
##3.2. Data set Pytorch provides datasets and data loaders to help process datasets. For the training data of semantic segmentation, it is assumed that we already have the original image and the corresponding label image. In order to train the network model, we need Tensor data of the original UTF-8...
Posted by Gordicron on Tue, 15 Mar 2022 04:44:45 +0530