Bi-RNN

Applications and Impacts of Large Model Technology in Autonomous Driving

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Applications and Impacts of Large Model Technology in Autonomous Driving

This article first summarizes the development history of large model technology, the iterative path of autonomous driving models, and the role of large models in the autonomous driving industry. Next, it details the basic definition, fundamental functions, and key technologies of large models, especially the Transformer attention mechanism and the pre-training-fine-tuning paradigm. The article also … Read more

Thorough Understanding of RNN (Recurrent Neural Networks)

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Thorough Understanding of RNN (Recurrent Neural Networks)

This article is a bit long, and I will divide it into several parts. Through this article, I hope to help you thoroughly understand the principles of RNN (Recurrent Neural Networks) and be able to implement it at the code level. Table of Contents What This Article Does Inputs and Outputs of RNN RNN Network … Read more

Differences Between CNN and RNN in Deep Learning

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Differences Between CNN and RNN in Deep Learning

CNN and RNN are the two most commonly used deep learning network structures in deep learning, and some students may still be unclear about the differences between these two networks. Now let’s illustrate the specific applications of CNN and RNN with a diagram: One to One: This represents the scenario of the CNN network, from … Read more

Differences in Internal Structures of CNN, RNN, and DNN

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Differences in Internal Structures of CNN, RNN, and DNN

In the field of deep learning, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Deep Neural Networks (DNN) are the three most widely researched and applied neural network models. They each have their own focus in terms of structure, function, and applicable scenarios, complementing each other. This article will provide a detailed analysis of … Read more

GhostRNN: Cost-Effective Transformer Layer for RNN Model Optimization

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GhostRNN: Cost-Effective Transformer Layer for RNN Model Optimization

Editor: Jizhi Shutong Recurrent Neural Networks (RNNs) based on long-range dependency modeling are widely used in various speech tasks, such as Keyword Spotting (KWS) and Speech Enhancement (SE). However, due to the power and memory limitations of low-resource devices, efficient RNN models are needed for practical applications. In this paper, the author proposes an efficient … Read more

Understanding Mamba: The Strongest Competitor to Transformers

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Understanding Mamba: The Strongest Competitor to Transformers

Source: Machine Heart This article is about 5400 words, and it is recommended to read for more than 10 minutes. Mamba is promising, but its development is still in the early stages. There are many deep learning architectures, but in recent years, none have been as successful as the Transformer, which has established its dominance … Read more

Introduction to Artificial Intelligence, Machine Learning, and Deep Learning

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Introduction to Artificial Intelligence, Machine Learning, and Deep Learning

Artificial Intelligence Machine Learning Deep Learning Introduction For beginners, it can be difficult to distinguish between artificial intelligence (AI), machine learning (ML), and deep learning (DL) when first encountering them, as well as to understand their connections, concepts, and what they can do. 1 Concepts and Definitions In simple terms, artificial intelligence is about making … Read more

The Past and Present of Machine Translation

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The Past and Present of Machine Translation

Popular Science Article The Past and Present of Machine Translation From the Tower of Babel to Esperanto, and now to machine translation, humanity has been trying to eliminate the barriers of language communication. The Tower of Babel fell short, Esperanto failed, where will machine translation go? Let us first review the development history of machine … Read more

Overview of 7 Models for Text Classification Using CNN

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Overview of 7 Models for Text Classification Using CNN

Follow the official account “ML_NLP“ Set as “Starred“, receive heavy content promptly! Selected by | Ahmed BESBES Author | Ahmed Besbes Transferred from | Machine Heart This article introduces 7 models for text classification tasks, including traditional bag-of-words models, recurrent neural networks, convolutional neural networks commonly used in computer vision tasks, and RNN + CNN. … Read more

Illustrated Guide to Deep Learning with TensorFlow: Introduction, Principles, and Advanced Practice

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Illustrated Guide to Deep Learning with TensorFlow: Introduction, Principles, and Advanced Practice

During the learning process, I collected relevant flowcharts for each chapter of the book “Deep Learning with TensorFlow: Introduction, Principles, and Advanced Practice.” This makes the knowledge points in the book more intuitive and easier for readers to learn and review. The flowcharts were compiled by a team I encountered before, known as the Code … Read more