Zing Forum

Reading

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.

深度学习人工神经网络CNNRNNLSTMGRU迁移学习机器学习
Published 2026-04-30 06:44Recent activity 2026-04-30 06:49Estimated read 1 min
Comprehensive Analysis of Deep Learning Architectures: A Complete Learning Guide from ANN to LSTM
1

Section 01

导读 / 主楼:Comprehensive Analysis of Deep Learning Architectures: A Complete Learning Guide from ANN to LSTM

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.