首页 磁力链接怎么用

[FreeCourseLab.com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2020-1-2 05:01 2024-12-2 20:13 218 666.25 MB 37
二维码链接
[FreeCourseLab.com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python的二维码
种子下载(838888不存储任何种子文件)
种子下载线路1(迅雷)--推荐
种子下载线路2(比特彗星)
种子下载线路3(torcache)
3条线路均为国内外知名下载网站种子链接,内容跟本站无关!
文件列表
  1. 1. Introduction and Outline/1. What’s this course about How can you succeed What should you know first.mp410.16MB
  2. 1. Introduction and Outline/2. Where to get the code (and how to install libraries).mp47.5MB
  3. 1. Introduction and Outline/4. Python 2 or Python 3.mp41.82MB
  4. 2. Numpy/1. Lists vs. Arrays.mp410.67MB
  5. 2. Numpy/2. Dot product 1 For loop vs. cosine method vs. dot function.mp48.17MB
  6. 2. Numpy/3. Dot product 2 Speed comparison.mp43.13MB
  7. 2. Numpy/4. Vectors and Matrices.mp46.16MB
  8. 2. Numpy/5. Generating Matrices to Work With.mp46.37MB
  9. 2. Numpy/6. Matrix Products.mp44.41MB
  10. 2. Numpy/7. More Matrix Operations.mp412.05MB
  11. 2. Numpy/8. Solving a Linear System.mp44.59MB
  12. 2. Numpy/9. Word Problem.mp43.33MB
  13. 3. Pandas/1. Manual Data Loading.mp48.13MB
  14. 3. Pandas/2. DataFrames.mp46.94MB
  15. 3. Pandas/3. More about DataFrames Selecting Rows and Columns.mp48.23MB
  16. 3. Pandas/4. Even More about DataFrames Column Names.mp45.81MB
  17. 3. Pandas/5. The apply() Function.mp45.39MB
  18. 3. Pandas/6. Joins.mp44.03MB
  19. 3. Pandas/7. .values vs .as_matrix().mp433.28MB
  20. 4. Matplotlib/1. Line Chart.mp45.55MB
  21. 4. Matplotlib/2. Scatterplot.mp46.24MB
  22. 4. Matplotlib/3. Histogram.mp46.52MB
  23. 4. Matplotlib/4. Plotting Images.mp412.16MB
  24. 5. Scipy/1. Gaussian PDF and CDF.mp48.45MB
  25. 5. Scipy/2. Sampling from a Gaussian Distribution (1-D).mp44.5MB
  26. 5. Scipy/3. Sampling from a Gaussian Distribution (Spherical and Axis-aligned Elliptical).mp47.49MB
  27. 5. Scipy/4. Sampling from a General Multivariate Normal.mp45.03MB
  28. 5. Scipy/5. Other Interesting Scipy Functions.mp410MB
  29. 6. Appendix/1. Exercises.mp416.69MB
  30. 6. Appendix/2. Bonus Section on Machine Learning Basics.mp434.96MB
  31. 6. Appendix/3. Windows-Focused Environment Setup 2018.mp4186.24MB
  32. 6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.92MB
  33. 6. Appendix/5. Python 2 vs Python 3.mp419.1MB
  34. 6. Appendix/6. Proof that using Jupyter Notebook is the same as not using it.mp478.28MB
  35. 6. Appendix/7. What order should I take your courses in (part 1).mp429.33MB
  36. 6. Appendix/8. What order should I take your courses in (part 2).mp437.63MB
  37. 6. Appendix/9. Where to get Udemy coupons and FREE deep learning material.mp44.02MB
友情提示
不会用的朋友看这里 把磁力链接复制到离线下载,或者bt下载软件里即可下载文件,或者直接复制迅雷链接到迅雷里下载! 亲,你造吗?将网页分享给您的基友,下载的人越多速度越快哦!

违规内容投诉邮箱:[email protected]

概述 838888磁力搜索是一个磁力链接搜索引擎,是学术研究的副产品,用于解决资源过度分散的问题 它通过BitTorrent协议加入DHT网络,实时的自动采集数据,仅存储文件的标题、大小、文件列表、文件标识符(磁力链接)等基础信息 838888磁力搜索不下载任何真实资源,无法判断资源的合法性及真实性,使用838888磁力搜索服务的用户需自行鉴别内容的真伪 838888磁力搜索不上传任何资源,不提供Tracker服务,不提供种子文件的下载,这意味着838888磁力搜索 838888磁力搜索是一个完全合法的系统