By / Development Technology Promotion Engineer Khanh LeViet TensorFlow Lite (tensorflow.google.cn/lite) is the official framework for running TensorFlow model inference on edge devices. TensorFlow Lite is deployed on over 4 billion edge devices worldwide and supports IoT devices and microcontrollers based on Android, iOS, and Linux. Since the initial release of TensorFlow Lite at the … Read more
Translation / TF Community Translation Team Introduction: We previously introduced “The Future of Machine Learning – Miniaturization (Part 1)&(Part 2)“, and many friends expressed great interest and raised some questions. This article provides a detailed introduction to microcontrollers. We welcome friends who are interested and have needs in this area to communicate with us more~ … Read more
This document is aimed at users who need to provide backward compatibility for different versions of TensorFlow (whether code or data) and developers who wish to change TensorFlow while maintaining compatibility. Semantic Versioning 2.0 The public API of TensorFlow follows Semantic Versioning 2.0 (semver). Each TensorFlow version number is in the format MAJOR.MINOR.PATCH. For example, … Read more
Convolutional Neural Networks (CNN) are a brilliant gem in the field of AI, especially in image processing, where they are nearly omnipotent. If you have ever been interested in image recognition, facial recognition, or image analysis in autonomous driving, you must understand the power of CNN. In simple terms, CNN is a neural network architecture … Read more
Click the above “Beginner Learning Vision“, select to add “Star” or “Top“ Essential knowledge delivered promptly 1. IntroductionDeep Convolutional Neural Networks have greatly changed the research landscape of image classification [1]. As more layers are added, the model’s expressive power increases; it can learn more complex representations. To some extent, there seems to be a … Read more
Many tutorials online teach how to install the TensorFlow GPU version, but many beginners have computers with average performance and do not have NVIDIA graphics cards. So how can one learn TensorFlow? This article will guide you step by step to install the TensorFlow CPU version. 1. Preparation Basic requirements: You should at least have … Read more
Abstract This article establishes a data-driven model for predicting f-CaO in clinker using a fully connected neural network based on the TensorFlow+Keras deep learning framework. The model is trained with the Nadam optimizer, showing better robustness compared to SGD (Stochastic Gradient Descent). Furthermore, this article introduces the implementation method for real-time prediction of f-CaO content … Read more
Deep learning is the latest trend in machine learning, but what exactly is deep learning, and how can we further our studies? To address these questions, this article lists 8 free deep learning books. Deep Learning (Deep Learning) by Ian Goodfellow, Yoshua Bengio, and Aaron Courville Also known as the “Flower Book,” this textbook on … Read more
For academic sharing only, does not represent the stance of this public account. Contact for removal if infringing.Reprinted from:Author丨Yukyin@ZhihuSource丨https://zhuanlan.zhihu.com/p/279401802Editor丨Extreme City Platform I recently got a 3090 and found that the various environment configurations written online are quite chaotic and slow. So I tested the fastest 3090 configuration environment myself, feel free to add more! Basic … Read more
1Training Overview With the rapid advancements in the fields of artificial intelligence, machine learning, and deep learning, the update and iteration of AI technologies have accelerated in recent years, bringing many new technologies worth learning. Various organizations and universities are increasingly seeking stronger capabilities in machine learning and deep learning to promote in-depth development of … Read more