Source: Quantum Bit This article is about 1700 words long and takes about 8 minutes to read. When it comes to computer vision, you can't do without <strong>CNN</strong>. But what do convolution, pooling, Softmax, etc., actually look like, and how are they interconnected?Imagining it from code alone can be a bit chilling. So someone simply … Read more
Machine Heart Column This column is produced by Machine Heart SOTA! Model Resource Station, updated every Sunday on the Machine Heart public account. This column will review common tasks in natural language processing, computer vision, etc., and provide detailed explanations of classic models that have achieved SOTA in these tasks. Visit SOTA! Model Resource Station … Read more
Author: Adrian Rosebrock Translated by: Wu Zhendong Proofread by: Zhang Damin This article is about 8000 words, and it is recommended to read for 10+minutes. This article will tell you how to use image-based adversarial attacks to disrupt deep learning models, leveraging the Keras and TensorFlow deep learning libraries to implement your own adversarial attacks.[ … Read more
Author: Saurabh Bodhe Translator: Chen Zhendong Proofreader: Che Qianzi This article is approximately 1000 words, suggested reading time is 5 minutes. This article discusses a tutorial on setting up a GPU-based TensorFlow platform using NVIDIA’s official tools. “Building Deep Learning on Google Cloud Platform”I know that building a high-end deep learning system based on GPU … Read more
Author: Pedro Lopez Translator: Li Haiming Proofreader: Liang Fuqi This article contains approximately 2832 words, and it is recommended to read in 8 minutes. This article discusses how deep learning is currently undergoing a rapid evolution phase, with new technologies, tools, and applications profoundly changing the field of machine learning and continuously yielding significant results. … Read more
The topic of deep learning seems to have lost its previous popularity. Thanks to the myriad tutorials available online, anyone can talk about deep learning for five minutes. But has the threshold for deep learning dropped to the level of statistical methods like EOF decomposition? On one hand, deep learning is overly touted as a … Read more
Click the above “Beginner’s Visual Learning” and choose to add “Star” or “Top“. Heavyweight content delivered in real time Author | Peter Pan Xin Source | Xixiaoyao’s Cute Store I have been dealing with deep learning frameworks for many years. From Google’s TensorFlow to Baidu’s PaddlePaddle, and now Tencent’s Wuliang. I am fortunate to have … Read more
Author: Chen ZhiyanThis article is about 3500 words, and it is recommended to read in 5 minutes This article introduces several very useful deep learning frameworks, their advantages and applications. By comparing each framework, developers can learn how to selectively use them to efficiently and quickly complete project tasks. For beginners in data science, using … Read more
Source: Read Chip Technology This article is approximately 8000 words, and it is recommended to read in 16 minutes. Step-by-step guide on how to use Convolutional Neural Networks to build an image classifier. Image source: pexels.com Neural networks consist of neurons with weights and biases. By adjusting these weights and biases during training, a good … Read more
Click on the above “Beginner’s Guide to Vision” to select Star or Top for heavy content delivered first Author: Xi XiaoyaoFrom: Xi Xiaoyao’s Cute Selling HouseForeword Although tuning parameters alone is no longer a hot topic in deep learning, if you can’t even tune parameters, you might not even get a taste of the soup. … Read more