耿直哥–深度学习必修课：进击算法工程师100节

• file:100.16-5 下一步学习的建议.mp4
• file:045.8-1 AlexNet.mp4
• file:015.4-5 回归问题.mp4
• file:093.15-4 Hugging Face库介绍.mp4
• file:063.10-7 序列到序列模型代码实现.mp4
• file:048.8-4 GoogLeNet.mp4
• file:067.11-2 注意力的计算.mp4
• file:034.6-8 AdaGrad算法.mp4
• file:019.5-1 训练的常见问题.mp4
• file:075.12-3 T5模型.mp4
• file:087.14-3 迁移学习.mp4
• file:080.13-2 变分推断.mp4
• file:085.14-1 自定义数据加载.mp4
• file:007.3-1 CUDA+Anaconda深度学习环境搭建.mp4
• file:084.13-6 图像生成.mp4
• file:057.10-1 深度循环神经网络.mp4
• file:066.11-1 什么是注意力机制.mp4
• file:013.4-3 前向传播和反向传播.mp4
• file:073.12-1BERT模型.mp4
• file:074.12-2 GPT系列模型.mp4
• file:095.15-6 项目实战：电影评论情感分析.mp4
• file:089.14-5 项目实战：猫狗大战.mp4
• file:064.10-8 束搜索算法.mp4
• file:081.13-3 变分自编码器.mp4
• file:003.1-3 课程使用的技术栈.mp4
• file:002.1-2 初识深度学习.mp4
• file:036.6-10 Adam算法.mp4
• file:023.5-5 Dropout.mp4
• file:071.11-6 Transformer模型.mp4
• folder:耿直哥–深度学习必修课：进击算法工程师100节