文件内容:
file:070.11-5 注意力池化及代码实现.mp4
file:095.15-6 项目实战：电影评论情感分析.mp4
file:019.5-1 训练的常见问题.mp4
file:013.4-3 前向传播和反向传播.mp4
file:072.11-7 Transformer代码实现.mp4
file:023.5-5 Dropout.mp4
file:030.6-4 梯度下降.mp4
file:018.4-8 多分类问题代码实现.mp4
file:024.5-6 Dropout代码实现.mp4
file:082.13-4 生成对抗网络.mp4
file:003.1-3 课程使用的技术栈.mp4
file:008.3-2 conda实用命令.mp4
file:020.5-2 过拟合欠拟合应对策略.mp4
file:006.2-3 概率.mp4
file:014.4-4 多层感知机代码实现.mp4
file:076.12-4 ViT模型.mp4
file:073.12-1BERT模型.mp4
file:071.11-6 Transformer模型.mp4
file:021.5-3 过拟合和欠拟合示例.mp4
file:017.4-7 分类问题.mp4
file:087.14-3 迁移学习.mp4
file:089.14-5 项目实战：猫狗大战.mp4
file:025.5-7 梯度消失和梯度爆炸.mp4
file:068.11-3 键值对注意力和多头注意力.mp4
file:011.4-1 神经网络原理.mp4
file:032.6-6 小批量梯度下降法.mp4
file:016.4-6 线性回归代码实现.mp4
file:085.14-1 自定义数据加载.mp4
file:015.4-5 回归问题.mp4
file:028.6-2 损失函数.mp4
folder:B站 - 深度学习必修课：进击AI算法工程师【梗直哥瞿炜】