深度学习：技术介绍
Deep learning: Technical introduction
摘要：
本文以技术性的方式介绍了三种最常见的神经网络架构形式：前馈、卷积和递归。对于每个网络，详细介绍了它们的基本构建块。反向传播算法的前向传递和更新规则，然后推导出完整的。
英文摘要：
This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent. For each network, their fundamental building blocks are detailed. The forward pass and the update rules for the backpropagation algorithm are then derived in full.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
