学习作业和课间整理: 课程包含的五个部分: https://github.com/jasmine-0/deeplearning.ai 每周更新提交作业, 注:由于版本问题,作业中有的报错的地方 常见报错1: ‘c’ argument has 1 elements… 这个主要是plt.scatter函
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Stanford CS230: Deep Learning | Autumn 2018 | Lecture 1 - Class Introduction and Logistics斯坦福CS230:深度学习|2018年秋季|讲座1 - 课程介绍和物流 Andrew Ng, Adjunct Professor & Kian Katanforoosh, Lecturer - Stanford University https://stanford.io/3eJW8y
最近,吴恩达在斯坦福大学又开设了高质量的深度学习课程CS230。这门课的主页是: https://web.stanford...深度学习网络,能有一个基本的思路。 然后是深度模型的优化或调参技巧,例如初始化、正则化、数据集划分、Dropout、归一化、梯度检查等,和各种经典的学习率衰减方法,如动量算法、Adam等。 3. 构建...
One of CS230's main goals is to prepare students to apply machine learning algorithms to real-world tasks. Check out a list of our students past final project. project-2018-win project-2018-spr project-2018-fall project-2019-win project-2019-spr project-2019-fall true Fall 2019 Outstanding...