[Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)

磁力链接/BT种子名称

[Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)

磁力链接/BT种子简介

种子哈希：cb73ce62e2c1f91b5b46fb506f7f2c34ab0f49bd
文件大小： 1.09G
已经下载：710次
下载速度：极快
收录时间：2022-05-12
最近下载：2025-09-27

移花宫入口

移花宫.com邀月.com怜星.com花无缺.comyhgbt.icuyhgbt.top

磁力链接下载

magnet:?xt=urn:btih:CB73CE62E2C1F91B5B46FB506F7F2C34AB0F49BD
推荐使用PIKPAK网盘下载资源，10TB超大空间，不限制资源，无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接 迅雷下载 PIKPAK在线播放 世界之窗 91视频 含羞草 欲漫涩 逼哩逼哩 成人快手 51品茶 抖阴破解版 极乐禁地 91短视频 抖音Max TikTok成人版 PornHub 听泉鉴鲍 少女日记 草榴社区 哆哔涩漫 呦乐园 萝莉岛 悠悠禁区 悠悠禁区 拔萝卜 疯马秀

最近搜索

文件列表

  • 6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • 6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 2. Numpy (New)/7. Generating Data.mp4 66.3 MB
  • 1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
  • 2. Numpy (New)/5. Matrices.mp4 60.0 MB
  • 2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
  • 4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
  • 6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
  • 6. Appendix FAQ/9. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 6. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 39.5 MB
  • 6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4 36.7 MB
  • 6. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 30.8 MB
  • 2. Numpy (New)/3. Dot Product.mp4 27.6 MB
  • 1. Welcome and Logistics/5. Extra Resources.mp4 26.5 MB
  • 2. Numpy (New)/1. Numpy Section Introduction.mp4 25.2 MB
  • 4. Pandas (New)/2. Loading in Data.mp4 24.8 MB
  • 5. Scipy (New)/3. Convolution.mp4 22.5 MB
  • 6. Appendix FAQ/5. Python 2 vs Python 3.mp4 20.0 MB
  • 3. Matplotlib (New)/3. Scatterplot.mp4 18.8 MB
  • 6. Appendix FAQ/1. More Exercises.mp4 17.5 MB
  • 3. Matplotlib (New)/2. Line Chart.mp4 16.9 MB
  • 2. Numpy (New)/9. Suggestion Box.mp4 16.9 MB
  • 2. Numpy (New)/4. Speed Test.mp4 15.5 MB
  • 3. Matplotlib (New)/1. Matplotlib Section Introduction.mp4 15.5 MB
  • 5. Scipy (New)/2. PDF and CDF.mp4 15.2 MB
  • 2. Numpy (New)/6. Solving Linear Systems.mp4 15.1 MB
  • 4. Pandas (New)/6. Pandas Exercise.mp4 14.1 MB
  • 4. Pandas (New)/5. Plotting with Pandas.mp4 14.0 MB
  • 3. Matplotlib (New)/6. Matplotlib Exercise.mp4 13.6 MB
  • 4. Pandas (New)/4. The apply() Function.mp4 10.9 MB
  • 3. Matplotlib (New)/4. Histogram.mp4 10.9 MB
  • 5. Scipy (New)/4. Scipy Exercise.mp4 6.7 MB
  • 5. Scipy (New)/1. Scipy Section Introduction.mp4 6.6 MB
  • 4. Pandas (New)/1. Pandas Section Introduction.mp4 6.2 MB
  • 2. Numpy (New)/8. Numpy Exercise.mp4 4.9 MB
  • 6. Appendix FAQ/8. What order should I take your courses in (part 2).srt 23.6 kB
  • 6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.srt 20.6 kB
  • 2. Numpy (New)/7. Generating Data.srt 17.7 kB
  • 2. Numpy (New)/5. Matrices.srt 16.7 kB
  • 6. Appendix FAQ/7. What order should I take your courses in (part 1).srt 16.4 kB
  • 6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 14.8 kB
  • 2. Numpy (New)/2. Arrays vs Lists.srt 14.8 kB
  • 6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.srt 14.5 kB
  • 1. Welcome and Logistics/1. Introduction and Outline.srt 12.0 kB
  • 6. Appendix FAQ/1. More Exercises.srt 10.7 kB
  • 4. Pandas (New)/3. Selecting Rows and Columns.srt 10.7 kB
  • 6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.srt 8.7 kB
  • 3. Matplotlib (New)/5. Plotting Images.srt 8.5 kB
  • 6. Appendix FAQ/9. BONUS Where to get Udemy coupons and FREE deep learning material.srt 8.1 kB
  • 2. Numpy (New)/1. Numpy Section Introduction.srt 7.9 kB
  • 2. Numpy (New)/3. Dot Product.srt 7.2 kB
  • 6. Appendix FAQ/5. Python 2 vs Python 3.srt 6.2 kB
  • 3. Matplotlib (New)/3. Scatterplot.srt 5.0 kB
  • 1. Welcome and Logistics/5. Extra Resources.srt 4.9 kB
  • 2. Numpy (New)/9. Suggestion Box.srt 4.8 kB
  • 5. Scipy (New)/3. Convolution.srt 4.6 kB
  • 2. Numpy (New)/6. Solving Linear Systems.srt 4.3 kB
  • 3. Matplotlib (New)/2. Line Chart.srt 3.9 kB
  • 2. Numpy (New)/4. Speed Test.srt 3.8 kB
  • 4. Pandas (New)/2. Loading in Data.srt 3.8 kB
  • 3. Matplotlib (New)/1. Matplotlib Section Introduction.srt 3.7 kB
  • 5. Scipy (New)/2. PDF and CDF.srt 3.0 kB
  • 4. Pandas (New)/6. Pandas Exercise.srt 2.9 kB
  • 4. Pandas (New)/5. Plotting with Pandas.srt 2.6 kB
  • 4. Pandas (New)/4. The apply() Function.srt 2.6 kB
  • 3. Matplotlib (New)/4. Histogram.srt 2.4 kB
  • 3. Matplotlib (New)/6. Matplotlib Exercise.srt 2.2 kB
  • 5. Scipy (New)/1. Scipy Section Introduction.srt 1.8 kB
  • 4. Pandas (New)/1. Pandas Section Introduction.srt 1.7 kB
  • 5. Scipy (New)/4. Scipy Exercise.srt 1.4 kB
  • 2. Numpy (New)/8. Numpy Exercise.srt 1.4 kB
  • 1. Welcome and Logistics/2. What will you learn in this course.html 164 Bytes
  • 1. Welcome and Logistics/3. What level of machine learning is taught in this course.html 164 Bytes
  • 1. Welcome and Logistics/4. How will you practice what you learned in this course.html 164 Bytes
  • [Tutorialsplanet.NET].url 128 Bytes

随机展示

相关说明

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！