Click on the above “Xiaobai Learns Vision“, select “Star” or “Pin“ Important content delivered immediately Authors: Matt H and Daniel R Compiled by: ronghuaiyang Introduction Experience and lessons accumulated from thousands of hours of model training. In our machine learning lab, we have accumulated thousands of hours of training on many high-performance machines. However, it … Read more
This series is organized based on the guest sharing at the Create 2024 Baidu AI Developer Conference “Large Models and Deep Learning Technology Forum”. This article is compiled from the keynote speech by Baidu’s outstanding architect Hu Xiaoguang – “Evolution of PaddlePaddle Framework Architecture and Core Technologies”. Development History of Deep Learning Frameworks In the … Read more
Author | Rohan Jagtap Compiled by | ronghuaiyang Source | AI Park TensorFlow 2.x provides a lot of simplicity in building models and overall use of TensorFlow. In this article, we will explore 10 features of TF 2.0 that make using TensorFlow smoother, reduce the number of lines of code, and improve efficiency. TensorFlow 2.x … Read more
Source: Algorithm Advancement This article is about 3000 words long and is recommended to be read in 8 minutes. This article will help everyone understand some concepts that may be confusing during the learning process. Nowadays, after becoming proficient in using specialized frameworks and high-level libraries like Keras、TensorFlow or PyTorch , we no longer have … Read more
Author: Pulkit Sharma Translator: Chen Zhiyan Proofreader: Ding Nanya This article contains about 3900 words, and is recommended to read for 10+ minutes. This article analyzes and compares the advantages and applications of five very useful deep learning frameworks. Overview Since I started my career, I have always been a programmer. I enjoy coding from … Read more
Click on the above “Beginner’s Visual Learning” to choose to add “star” or “top” Important content delivered promptly For students learning data science, implementing a neural network from scratch can help you understand many interesting concepts. However, I do not think it is wise to build deep learning models on real datasets unless you have … Read more
Follow the public account “ML_NLP” Set as “Starred”, heavy content delivered first-hand! Produced by Machine Learning Algorithms and Natural Language Processing Original Column Author on Public Account Liu Cong School | NLP Algorithm Engineer A while ago, a friend asked me this question: the ckpt file size of the bert-base model provided by Google is … Read more
Follow the WeChat public account “ML_NLP“ Set as “Starred“, heavy content delivered to you first! From | Zhihu Address | https://zhuanlan.zhihu.com/p/270210535 Author | Pan Xiaoxiao Editor | Machine Learning Algorithms and Natural Language Processing WeChat public account This article is for academic sharing only. If there is any infringement, please contact us to delete the … Read more
Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered to you first! Source: Deep Learning and NLP This resource organizes a large number of datasets for text classification, entity recognition & part-of-speech tagging, search matching, recommendation systems, coreference resolution, encyclopedia data, pre-trained word vectors or models, Chinese Cloze tests, and more. The content … Read more
0 Introduction The report of the 20th National Congress of the Communist Party of China clearly states: “Education, technology, and talent are the foundational and strategic support for the comprehensive construction of a modern socialist country”[1]. Since 2017, the Ministry of Education has actively promoted the construction of new engineering disciplines, raising new and higher … Read more