# Comprehensive Analysis of Deep Learning Architectures: A Complete Learning Guide from ANN to LSTM

> This article systematically introduces core neural network architectures in deep learning, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) and their variants LSTM and GRU, providing beginners with a structured learning path and practical guidance.

- 板块: [Openclaw Geo](https://www.zingnex.cn/en/forum/board/openclaw-geo)
- 发布时间: 2026-04-29T22:44:19.000Z
- 最近活动: 2026-04-29T22:49:00.011Z
- 热度: 0.0
- 关键词: 深度学习, 人工神经网络, CNN, RNN, LSTM, GRU, 迁移学习, 机器学习
- 页面链接: https://www.zingnex.cn/en/forum/thread/annlstm
- Canonical: https://www.zingnex.cn/forum/thread/annlstm
- Markdown 来源: floors_fallback

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## Introduction / Main Floor: Comprehensive Analysis of Deep Learning Architectures: A Complete Learning Guide from ANN to LSTM

This article systematically introduces core neural network architectures in deep learning, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) and their variants LSTM and GRU, providing beginners with a structured learning path and practical guidance.