Machine Learning

Enterprise Image Recognition Machine Learning Platform Architecture Based on Amazon SageMaker

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Enterprise Image Recognition Machine Learning Platform Architecture Based on Amazon SageMaker

In an era of explosive growth in image recognition demands, visual content is continuously replacing traditional text content needs, leading to the development of more image recognition solution technologies. With the rapid development of image recognition technology, it has found widespread applications across various industries. Based on Amazon Web Services, it can easily meet various … Read more

Amazon SageMaker Python SDK: A Powerful Interface for Machine Learning Development

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Amazon SageMaker Python SDK: A Powerful Interface for Machine Learning Development

Hello everyone! I’m back! Today I want to introduce you to a super powerful machine learning development tool—the Amazon SageMaker Python SDK! It’s like a thoughtful AI assistant that helps us easily handle the training and deployment of machine learning projects. Want to train models in the cloud? Want to deploy machine learning services? It … Read more

Guidelines for Implementing Generative AI Across Industries

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Guidelines for Implementing Generative AI Across Industries

The path to implementing AI is guided by cloud vendors. Nowadays, generative AI is experiencing explosive growth, with increasingly rich and diverse applications in artificial intelligence, such as text generation, image generation, knowledge Q&A, product design, and more innovations emerging continuously. However, the question arises: how can we better promote the implementation of generative AI … Read more

Convolutional Neural Networks: Understanding the Digit Zero

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Convolutional Neural Networks: Understanding the Digit Zero

Cover Image: Airbnb Headquarters, Illustrated in March 2020 Recently, while exploring artificial intelligence, I felt that among the materials available, there is a lot of information that can yield results through programming steps, but many people regard this process as a black box. It is often said that we do not know why this process … Read more

Illustration of 3 Common Deep Learning Network Structures: FC, CNN, RNN

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Illustration of 3 Common Deep Learning Network Structures: FC, CNN, RNN

Introduction: Deep learning can be applied in various fields, and the shapes of deep neural networks vary according to different application scenarios. The common deep learning models mainly include Fully Connected (FC), Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN). Each of these has its own characteristics and plays an important role in different … Read more

Understanding Convolutional Neural Networks (CNN)

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Understanding Convolutional Neural Networks (CNN)

Understanding Convolutional Neural Networks (CNN) Convolutional Neural Networks (CNN) are a type of feedforward neural network where artificial neurons can respond to a portion of the surrounding units within a coverage area, demonstrating outstanding performance in large image processing. CNN has five characteristics: 1. Local perception; 2. Parameter sharing; 3. Sampling; 4. Multiple convolutional kernels; … Read more

Explaining the Basic Structure of Convolutional Neural Networks (CNN)

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Explaining the Basic Structure of Convolutional Neural Networks (CNN)

I am a master’s student at a double first-class university, and I am currently preparing for the 2024 autumn recruitment. While looking for internships in large model algorithm positions, I encountered many interesting interviews, so I decided to record these interview questions and share them with friends who, like me, are striving for a satisfactory … Read more

Stanford Chinese Professor: Sound Waves, Light Waves, All Are RNNs!

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Stanford Chinese Professor: Sound Waves, Light Waves, All Are RNNs!

New Intelligence Report Source: Reddit, Science Editors: Daming, Pengfei [New Intelligence Guide]Recently, Stanford University Chinese Professor Shanhui Fan’s team published an article in a sub-journal of Science, pointing out that whether it is sound waves, light waves, or other forms of waves, their descriptive equations can be equivalent to Recurrent Neural Networks (RNNs). This discovery … Read more

Stanford Study: Waves and RNNs

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Stanford Study: Waves and RNNs

Selected from Reddit Author: Ian Williamson Translated by Machine Heart Contributors: Wang Zhi Jia, Mo Wang A study from Stanford University found a correspondence between waves in physics and computations in RNNs. Paper link:https://advances.sciencemag.org/content/5/12/eaay6946 GitHub link:https://github.com/fancompute/wavetorch Recently, there has been a lot of exciting interaction between machine learning and some fields of physics and numerical … Read more

It’s Time to Abandon RNN and LSTM for Sequence Modeling

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It's Time to Abandon RNN and LSTM for Sequence Modeling

Selected from Medium Author: Eugenio Culurciello Translation by Machine Heart Contributors: Liu Xiaokun, Siyuan The author states: We have been trapped in the pit of RNNs, LSTMs, and their variants for many years; it is time to abandon them! In 2014, RNNs and LSTMs were revived. We all read Colah’s blog “Understanding LSTM Networks” and … Read more