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fix：9，10修改 #65

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Jan 2, 2025
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fix：9，10修改 #65

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6 changes: 4 additions & 2 deletions 人工智能基础与应用/10.循环神经网络.md
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![循环神经网络原理](./image/循环神经网络原理.png)

循环神经网络的神经元接受其他神经元和自身两部分信息，进而形成具有环路的网络结构

# 标准循环神经网络 (RNN) 模型

## 循环神经网络介绍
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$$
h_t = f_1(h_{t-1}, x_t), \quad \forall t \in [1, T]
$$
$$

$$
h_{T+t} = f_2(h_{T+t-1}, \hat{y}_{t-1}), \quad \forall t \in [1, M]
$$
$$

$$
\hat{y}_t = g(h_{T+t}), \quad \forall t \in [1, M]
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2 changes: 1 addition & 1 deletion 人工智能基础与应用/9.卷积神经网络.md
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### 全连接层

- 全连接层目的：在于分类/回归等
- 前面若干层 (卷积、激活、池化等) 目的：实现从**数据变换**中**提取特征***，作为全连接层的**输入**为全连接层服务
- 前面若干层 (卷积、激活、池化等) 目的：实现从**数据变换**中**提取特征**，作为全连接层的**输入**为全连接层服务

## 卷积神经网络的应用

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