CMU-414 Lectures | 学习笔记 Albresky 收录于 深度学习 2024-09-09 2024-09-20 - 次阅读 - 条评论 目录 1 (Lecture-1) Introduction 1.1 Why we need to learn DL systems? 1.2 What can we learn here? 1.3 Knowledge backgrounds 2 (Lecture-2) Algorithms and Implementation 2.1 Machine learning backgrounds # 有监督学习 #(例)Softmax 回归 # 线性假设函数(Linear hypothesis function) # 矩阵的 batch 表示 # 损失函数1:分类错误 给作者倒杯卡布奇诺 ~ 赞赏 支付宝 微信 Please enable JavaScript to view the comments powered by Waline.