Written by Pavel Senchanka, Google Software Engineering Intern TensorFlow Lite is a leading solution for on-device inference of machine learning models. While a complete TensorFlow Lite training solution is still under development, we are eager to share a new example of on-device transfer learning. This article will introduce you to a practical approach for personalizing … Read more
Today 170+/10000, includes: Essentials – Technical Text Insights – Algorithm Thoughts Hot Topics – What Everyone is Watching Source丨Machine Heart Editor丨Algorithm Insights Convolutional Neural Networks (CNN) have achieved unprecedented success in the field of computer vision, but we still do not have a comprehensive understanding of the reasons behind their remarkable effectiveness. Recently, Isma Hadji … Read more
In early December 2024, a promotional video surfaced online, vigorously promoting a food product, and surprisingly, it featured Dr. Zhang Wenhong, the director of the National Center for Infectious Disease Medicine and head of the Infectious Diseases Department at Huashan Hospital affiliated with Fudan University. Many netizens, trusting Dr. Zhang, not only made purchases themselves … Read more
MLNLP ( Machine Learning Algorithms and Natural Language Processing ) community is a well-known natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The vision of the community is to promote communication between academia, industry, and enthusiasts in natural language processing and machine learning, especially … Read more
Delivering NLP technical insights to you daily! © Author | Wu Di Institution | UCLA Research Direction | NLP Typesetting | PaperWeekly Introduction In modern natural language processing (NLP) applications, using pre-trained representations for transfer learning is an important method. After deep learning began to be applied, transfer learning first appeared in the use of … Read more
Article Title: Natural Language Processing in Marketing Authors: Jochen Hartmann, Oded Netzer Published Journal: Artificial Intelligence in Marketing Review of Marketing Research Article Summary: Introduce the applications of natural language processing (NLP) in marketing, review traditional NLP methods, look ahead to the future applications of embedding-based methods, pre-trained language models and transfer learning in marketing, … Read more
Click on the above “Beginner Learning Vision”, choose to add Star or Top ” Important content delivered at the first time Author | Rohan Jagtap Compiled by | ronghuaiyang Source | AI Park TensorFlow 2.x provides a lot of simplicity in building models and the overall use of TensorFlow. In this article, we will explore … Read more
Original: Medium Author: Shiyu Mou Source: Robot Circle This article has a length of 4600 words and is suggested to be read in 6 minutes. This article introduces you to 5 techniques for image classification, summarizes and consolidates algorithms, implementation methods, and conducts experimental validation. The image classification problem is the task of assigning labels … Read more
Reprinted from: Jishi Platform As one of the representative algorithms of deep learning, Convolutional Neural Networks (CNN) have achieved the best results in fields such as computer vision. In 1998, Yann LeCun proposed LeNet-5, applying the BP algorithm to train the neural network structure, forming the prototype of contemporary CNNs. In 2012, during the ImageNet … Read more
Reprinted from AI Technology Review Human intelligence, encompassing consciousness, cognition, decision-making, and more, seems to have captivated philosophers since the dawn of recorded history. Similarly, since the birth of AI, scientists have been pondering: How can AI achieve human-like intelligence? Recently, Professor Sepp Hochreiter, one of the founders of LSTM and the founder of the … Read more