Click on the “Beginner’s Visual Learning” above to select “Star” or “Pin“ Important content delivered promptly 0. Introduction During the pandemic, we searched for TensorFlow pre-trained models on GitHub and found a repository containing 25 object detection pre-trained models with their performance and speed metrics. Utilizing one of these models to build a social distance … Read more
The Telecom Business Hall APP, as the entry-level application for China Telecom’s online services, has allowed its development team to have close contact with TensorFlow and artificial intelligence (AI) technology. AI is an area that the Telecom Business Hall APP had never explored before, and even the engineers involved in the project transitioned from Android … Read more
Remember when TensorFlow 2.0 was first released? A lot of developers were complaining: The official documentation was hard to find, bugs were not fixed and updated in a timely manner, and so on. Despite being online for so long, many developers still refuse to upgrade from 1.x or migrate from other frameworks. In fact, TensorFlow … Read more
Source: ZHUAN ZHI This article serves as a tutorial and is recommended for a 5-minute read. This tutorial's practical section will be based on TF-GNN, a library for handling graph-structured data in TensorFlow. Graphs are universal data structures that can represent information from various domains (social, biomedical, online transactions, etc.). Graph Neural Networks (GNNs) are … Read more
Source: Authorized by AI Technology Camp (ID: rgznai100) This article is approximately 3000 words long and is recommended to be read in 7 minutes. This article will introduce you to a comprehensive manual detailing TensorFlow 2.0. [ Guide ]After the official release of TensorFlow 2.0, it immediately received widespread attention and praise from the academic … Read more
This article investigates the design methods used in distributed machine learning platforms and proposes future research directions. I collaborated with my students Kuo Zhang and Salem Alqahtani to complete this in the fall of 2016, and it will be presented at the ICCCN’17 conference in Vancouver. Machine learning (especially deep learning) has now achieved transformative … Read more
https://iamarookie.blog.csdn.net/article/details/117755839 Basic Operations in TensorFlow2 – Part 3 Merge and Split tf.concat tf.concat helps us perform concatenation operations. Format: tf.concat( values, axis, name='concat' ) Parameters: values: a tensor or tensor list – axis: the dimension to operate on – name: the name of the operation, defaults to “concat” Example: part_1 = tf.zeros([5, 3]) print(part_1) part_2 … Read more
Deep learning frameworks have played a crucial role in the rapid development in recent years, among which PyTorch and TensorFlow are the two most popular frameworks. They each have unique features and advantages, but there are also some similarities. This article will delve into PyTorch and TensorFlow, providing a detailed introduction from principles, code implementation, … Read more
This article was first published on WeChat public account: “The Beauty of Algorithms and Programming”, welcome to follow for more timely updates on this series of articles. Problem Description Here is an example of recognizing the mnist handwritten dataset. This dataset is a classic dataset in machine learning, consisting of 60k training samples and 10k … Read more
Original content from Machinery Industry Education, please share to your circle of friends. Unauthorized reproduction by other public accounts is prohibited. TensorFlow Deep Learning Tutorial Click on the cover View details “TensorFlow Deep Learning Tutorial” (ISBN: 978-7-111-70365-5), Chief Editors: Ping Zhenyu and Kuang Liang,This book comes with micro-course videos, electronic courseware, source code, course standards, … Read more