文件内容:
file:012.4-2 多层感知机.mp4
file:027.6-1 最优化与深度学习.mp4
file:062.10-6 编码器-解码器网络.mp4
file:045.8-1 AlexNet.mp4
file:004.2-1 线性代数.mp4
file:026.5-8 模型文件的读写.mp4
file:001.1-1 课程内容和理念.mp4
file:052.9-2 文本数据预处理.mp4
file:005.2-2 微积分.mp4
file:059.10-3 门控循环单元.mp4
file:007.3-1 CUDA+Anaconda深度学习环境搭建.mp4
file:054.9-4 随时间反向传播算法.mp4
file:074.12-2 GPT系列模型.mp4
file:009.3-3 Jupyter Notebook快速上手.mp4
file:028.6-2 损失函数.mp4
file:058.10-2 双向循环神经网络.mp4
file:022.5-4 正则化.mp4
file:050.8-6 DenseNet.mp4
file:060.10-4 长短期记忆网络.mp4
file:051.9-1 序列建模.mp4
file:063.10-7 序列到序列模型代码实现.mp4
file:095.15-6 项目实战：电影评论情感分析.mp4
file:056.9-6 RNN的长期依赖问题.mp4
file:070.11-5 注意力池化及代码实现.mp4
file:065.10-9 机器翻译简单代码实现.mp4
file:015.4-5 回归问题.mp4
file:067.11-2 注意力的计算.mp4
file:069.11-4 自注意力机制.mp4
file:002.1-2 初识深度学习.mp4
file:066.11-1 什么是注意力机制.mp4
folder:B站 - 深度学习必修课：进击AI算法工程师【梗直哥瞿炜】