Artificial Neural Networks

Review: Google Translate Integrates Neural Networks for Breakthroughs in Machine Translation

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Review: Google Translate Integrates Neural Networks for Breakthroughs in Machine Translation

Selected from Google Research Authors: Quoc V. Le, Mike Schuster Translated by: Machine Heart Contributors: Wu Pan 2016 was a year of continuous breakthroughs in artificial intelligence. This year, we experienced breakthroughs in speech recognition, the flourishing of style transfer, advancements in neural machine translation, and more. Machine Heart closely followed each announcement. As the … Read more

AI-Driven Translation: The Evolution of Neural Machine Translation

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AI-Driven Translation: The Evolution of Neural Machine Translation

New Intelligence Report Author: Hu Xiangjie 【New Intelligence Overview】 With AlphaGo’s victory over Ke Jie, the panic triggered by AI has spread not only in the Go community but also into almost every field, with translation being particularly impacted. The emergence of deep learning has greatly transformed machine translation: since 2013, neural network-based machine translation … Read more

Introduction to Unsupervised Machine Translation Without Bilingual Corpora

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Introduction to Unsupervised Machine Translation Without Bilingual Corpora

Selected from Medium Author:Harshvardhan Gupta Compiled by Machine Heart Contributors: Liu Xiaokun, Lu Xue Last year, Facebook published a paper titled “Unsupervised Machine Translation Using Monolingual Corpora Only,” proposing unsupervised machine translation using monolingual corpora. Recently, an article on Medium interpreted this paper, and Machine Heart has compiled an introduction to it. Deep learning is … Read more

Neural Network Model Compression Techniques

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Neural Network Model Compression Techniques

Baido NLP Column Author: Baido NLP Introduction In recent years, we have been deeply engaged in the integration of neural network models with NLP tasks, achieving significant progress in various areas such as syntactic analysis, semantic similarity computation, and chat generation. In search engines, semantic similarity features have also become one of the most important … Read more

DeepNude Application Shutdown and Image Restoration Technology

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DeepNude Application Shutdown and Image Restoration Technology

Big Data Digest Production Source:Github Publisher:yuanxiaosc Last week, another AI niche application DeepNude surfaced, allowing users to “strip” women’s clothing with one click, going viral worldwide. The application is also very easy to use; just provide a photo, and it can automatically “strip” clothing using neural network technology. Although the underlying principle is complex, using … Read more

A Simple and Direct Guide to TensorFlow

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A Simple and Direct Guide to TensorFlow

Google has many GDEs (Google Developers Experts) around the world, all of whom are recognized experts by Google. GDEs are committed to spreading and promoting new technologies in various forms and helping developers solve problems encountered during the development process. Each GDE has made special contributions to their respective fields. The author of “A Simple … Read more

Building Neural Networks with Numpy Instead of TensorFlow

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Building Neural Networks with Numpy Instead of TensorFlow

Produced by Big Data Digest Author: Jiang Baoshang Many students, after starting with machine learning, directly use TensorFlow to implement neural networks, with little understanding of the underlying mechanisms of neural networks. Programming languages and frameworks evolve rapidly, so understanding the principles behind them is essential. Below, we will implement a neural network step by … Read more

Adding Captions to Images Using TensorFlow

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Adding Captions to Images Using TensorFlow

Authorized Reprint from OReillyData Author | Raul Puri et al. How to Build and Train an Image Captioning Generator Using TensorFlow The image captioning model combines advances in computer vision and machine translation in recent years, using neural networks to generate captions for real images. For a given input image, the neural image captioning model … Read more

Research Progress and Prospects of Generative Adversarial Networks (GAN)

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Research Progress and Prospects of Generative Adversarial Networks (GAN)

[Brief Note] From July 17 to 18, 2017, the first session of the Frontier Lecture Series on Intelligent Automation, organized by the Chinese Association of Automation, was held in Beijing. To promote in-depth research on the theories, methods, technologies, and applications related to Generative Adversarial Networks (GAN), the first session invited several well-known scholars from … Read more