TensorFlow

Implementing Stable Diffusion with TensorFlow and Keras for Multi-GPU Inference

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Implementing Stable Diffusion with TensorFlow and Keras for Multi-GPU Inference

MLNLP community is a well-known machine learning and natural language processing community in China and abroad, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The community’s vision is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted from | … Read more

Understanding Transformers: A Simplified Guide

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Understanding Transformers: A Simplified Guide

Source: Python Data Science This article is approximately 7200 words long and is recommended to be read in 14 minutes. In this article, we will explore the Transformer model and understand how it works. 1. Introduction The BERT model launched by Google achieved SOTA results in 11 NLP tasks, igniting the entire NLP community. One … Read more

Illustrated Guide to Transformer: Everything You Need to Know

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Illustrated Guide to Transformer: Everything You Need to Know

Source: CSDN Blog Author: Jay Alammar This article is about 7293 words, suggested reading time 14 minutes。 This article introduces knowledge related to the Transformer, using a simplified model to explain core concepts one by one. The Transformer was proposed in the paper “Attention is All You Need” and is now recommended as a reference … Read more

In-Depth Understanding of Transformer

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In-Depth Understanding of Transformer

Click on the above “Beginner Learning Visuals” to select “Star” or “Pin” Important content delivered promptly Author: Wang Bo Kings, Sophia Overview of the Content of This Article: Wang Bo Kings’ Recent Learning Notes on Transformer Recommended AI Doctor Notes Series Weekly Zhi Hua’s “Machine Learning” Handwritten Notes Officially Open Source! Printable version with PDF … Read more

Understanding Transformer Models: A Comprehensive Guide

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Understanding Transformer Models: A Comprehensive Guide

Click on the above “Beginner’s Visual Learning” to select “Add to Favorites” or “Pin” Essential content delivered immediately Source: Python Data Science This article is about 7200 words long and is recommended to read in 14 minutes. In this article, we will explore the Transformer model and understand how it works. 1. Introduction Google’s BERT … Read more

Insights from Andrew Ng’s DeepLearning.ai Course on Convolutional Neural Networks and Computer Vision

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Insights from Andrew Ng's DeepLearning.ai Course on Convolutional Neural Networks and Computer Vision

Selected from Medium Translated by Machine Heart Contributors: Lu Xue, Li Zenan Not long ago, Andrew Ng’s fourth course on Convolutional Neural Networks was released on Coursera. This article is a reflection written by Ryan Shrott, Chief Analyst at the National Bank of Canada, after completing the course, which helps everyone intuitively understand and learn … Read more

New GAN Special Course from Deeplearning.ai for National Day

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New GAN Special Course from Deeplearning.ai for National Day

Machine Heart reports Author: Danjiang Coursera has just launched a special course on GAN, which you might consider taking during this National Day holiday. Generative Adversarial Network (GAN) is one of the most powerful machine learning models today, capable of generating realistic images, videos, and audio outputs. Applications based on GAN are extensive, such as … Read more

Complete Experience of Andrew Ng’s Deeplearning.ai Courses

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Complete Experience of Andrew Ng's Deeplearning.ai Courses

Selected from Medium Author: Arvind N Translated by Machine Heart Contributors: Lu Xue, Li Zenan On August 8, Andrew Ng officially launched Deeplearning.ai—a series of deep learning courses based on Coursera, aiming to spread foundational knowledge of artificial intelligence to more people. A week later, many have completed the first three courses that are currently … Read more

Pre-training BERT: How TensorFlow Solved It Before Official Release

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Pre-training BERT: How TensorFlow Solved It Before Official Release

Edited by Machine Heart Contributors: Siyuan, Wang Shuting This month, Google’s BERT has received a lot of attention, as the research has refreshed the state-of-the-art performance records in 11 NLP tasks with its pre-trained model. The authors of the paper stated that they would release the code and pre-trained model by the end of this … Read more

Summary of BERT Related Papers, Articles, and Code Resources

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Summary of BERT Related Papers, Articles, and Code Resources

BERT has been very popular recently, so let’s gather some related resources, including papers, code, and article interpretations. 1. Official Google resources: 1) BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Everything started with this paper released by Google in October, which instantly ignited the entire AI community, including social media: https://arxiv.org/abs/1810.04805 2) GitHub: … Read more