Here is my code [Insert code].A: This is a violation of the Coursera Honor Code. Q: I've submitted correct answers for [insert problem]. However I would like to compare my implementation with other who did correctly.A: This is a violation of the Coursera Honor Code. Q: This is my ...
answersdeep-learningcourseradeeplearning-aiprograming-assignments UpdatedJan 21, 2019 Jupyter Notebook My notes / works on deep learning from Coursera natural-language-processingcomputer-visiondeep-learningtensorflowcourseragenerative-adversarial-networkneural-networksdeeplearning-ai ...
deeplearning.ai The notes and answers of Adrew Ng's coursera course: deeplearning.ai Email is the fast way to contract with me. You can also open an "ISSUE" from the github. (你可以通过开启ISSUE或者直接邮件联系我,邮件基本24小时都会回复,issue有时候回复比较慢。) The assignment of the cour...
Lecture 7:Policy Gradient Methods Lecture 8:Integrating Learning and Planning Lecture 9:Exploration and Exploitation Lecture 10:Case Study: RL in Classic Games Easy21assignment Discussion and announcements:http://groups.google.com/group/csml-advanced-topics Previous RL examquestionsandanswers...
吴恩达佬团队在Coursera开设新的机器学习课程啦!!! 收到了DeepLearning.AI给我发送的邮件,惊喜的发现这门课居然进行了更新。课程地址如下 上个版本相信是大部分人的引路教程 新版本终于使用… 阅读全文 吴恩达老师Deeplearning Short Courses学习 文雅的疯狂 ...
This idea comes from the simulated annealing method presented in coursera courses from Geoffrey Hinton. The noisy transformations do not help in this problem when using static values. I thought using a vanishing noise could help to regularize in the beginning of learning and then let the algorithm...
4 Answers Sort by: Votes Answer + 1 Deep learning is a subset of AI and machine learning that uses multi-layered artificial neural networks to deliver state-of-the-art accuracy in tasks such as object detection, speech recognition, language translation and others. Developing AI applicati...
Additional material:Coursera: Neural Networks for Machine Learning: 2. Limiting the Size of the Weights Conclusion to Part 2 This concludes part 2 of this crash course on deep learning. Please check back soon for the next part of the series. Inpart 3, I’ll provide some details on learning...
Grammatical error correction (GEC) is an important element in language learning. In this article, based on deep learning, the application of the Transformer model in GEC was briefly introduced. Then, in order to improve the performance of the model on GE
When students choose to guess the answer correctly or answer the question very carelessly, resulting in incorrect answers, the student’s mastery of the knowledge point will be worse. The last factor is the learning resource modeling. Cross-mapping between practices and KCs can be characterized as...