[Udemy] Deep Learning Prerequisites The Numpy Stack in Python (V2+) (2020) [En]

磁力链接/BT种子名称

[Udemy] Deep Learning Prerequisites The Numpy Stack in Python (V2+) (2020) [En]

磁力链接/BT种子简介

种子哈希：081b6452aa3aa2678ccec6158fdf7a1716e64cc3
文件大小： 1.73G
已经下载：1966次
下载速度：极快
收录时间：2021-03-07
最近下载：2025-05-29

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:081B6452AA3AA2678CCEC6158FDF7A1716E64CC3
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 TikTok成人版 PornHub 草榴社区 91未成年 乱伦巴士 呦乐园 萝莉岛

最近搜索

文件列表

  • 8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • 7. Machine Learning Basics/3. Classification in Code.mp4 131.5 MB
  • 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 3. Matplotlib (New)/7. Where to Learn More Matplotlib.mp4 80.9 MB
  • 2. Numpy (New)/7. Generating Data.mp4 66.2 MB
  • 7. Machine Learning Basics/2. What is Classification.mp4 65.2 MB
  • 7. Machine Learning Basics/5. Regression in Code.mp4 64.9 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
  • 7. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp4 47.7 MB
  • 8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 7. Machine Learning Basics/4. What is Regression.mp4 45.3 MB
  • 5. Scipy (New)/5. Where to Learn More Scipy.mp4 40.8 MB
  • 7. Machine Learning Basics/1. Machine Learning Section Introduction.mp4 40.8 MB
  • 2. Numpy (New)/9. Where to Learn More Numpy.mp4 40.7 MB
  • 3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
  • 11. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
  • 7. Machine Learning Basics/10. Machine Learning and Deep Learning Future Topics.mp4 38.5 MB
  • 7. Machine Learning Basics/6. What is a Feature Vector.mp4 34.4 MB
  • 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 30.7 MB
  • 2. Numpy (New)/3. Dot Product.mp4 27.6 MB
  • 4. Pandas (New)/7. Where to Learn More Pandas.mp4 26.8 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
  • 7. Machine Learning Basics/11. Machine Learning Section Summary.mp4 22.5 MB
  • 7. Machine Learning Basics/8. All Data is the Same.mp4 22.4 MB
  • 7. Machine Learning Basics/7. Machine Learning is Nothing but Geometry.mp4 20.2 MB
  • 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Python 2 vs Python 3.mp4 20.0 MB
  • 3. Matplotlib (New)/3. Scatterplot.mp4 18.8 MB
  • 6. Bonus Exercises/1. More Exercises.mp4 17.5 MB
  • 3. Matplotlib (New)/2. Line Chart.mp4 16.9 MB
  • 2. Numpy (New)/10. 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 14.2 MB
  • 4. Pandas (New)/5. Plotting with Pandas.mp4 14.0 MB
  • 3. Matplotlib (New)/6. Matplotlib Exercise.mp4 13.0 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
  • 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).srt 23.6 kB
  • 8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.srt 20.6 kB
  • 3. Matplotlib (New)/7. Where to Learn More Matplotlib.srt 17.9 kB
  • 2. Numpy (New)/7. Generating Data.srt 17.7 kB
  • 7. Machine Learning Basics/4. What is Regression.srt 17.2 kB
  • 7. Machine Learning Basics/2. What is Classification.srt 17.1 kB
  • 7. Machine Learning Basics/3. Classification in Code.srt 17.0 kB
  • 2. Numpy (New)/5. Matrices.srt 16.7 kB
  • 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. Machine Learning and AI Prerequisite Roadmap (pt 1).srt 16.4 kB
  • 8. Setting Up Your Environment (FAQ by Student Request)/2. 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
  • 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.srt 14.5 kB
  • 7. Machine Learning Basics/9. Comparing Different Machine Learning Models.srt 13.5 kB
  • 1. Welcome and Logistics/1. Introduction and Outline.srt 12.0 kB
  • 7. Machine Learning Basics/1. Machine Learning Section Introduction.srt 11.4 kB
  • 6. Bonus Exercises/1. More Exercises.srt 10.7 kB
  • 4. Pandas (New)/3. Selecting Rows and Columns.srt 10.7 kB
  • 5. Scipy (New)/5. Where to Learn More Scipy.srt 10.5 kB
  • 2. Numpy (New)/9. Where to Learn More Numpy.srt 10.3 kB
  • 7. Machine Learning Basics/5. Regression in Code.srt 10.1 kB
  • 7. Machine Learning Basics/6. What is a Feature Vector.srt 9.2 kB
  • 3. Matplotlib (New)/5. Plotting Images.srt 8.5 kB
  • 7. Machine Learning Basics/11. Machine Learning Section Summary.srt 8.2 kB
  • 7. Machine Learning Basics/10. Machine Learning and Deep Learning Future Topics.srt 8.1 kB
  • 11. Appendix FAQ Finale/1. 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
  • 7. Machine Learning Basics/8. All Data is the Same.srt 7.4 kB
  • 2. Numpy (New)/3. Dot Product.srt 7.2 kB
  • 7. Machine Learning Basics/7. Machine Learning is Nothing but Geometry.srt 6.2 kB
  • 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Python 2 vs Python 3.srt 6.2 kB
  • 4. Pandas (New)/7. Where to Learn More Pandas.srt 6.1 kB
  • 3. Matplotlib (New)/3. Scatterplot.srt 5.0 kB
  • 1. Welcome and Logistics/5. Extra Resources.srt 4.9 kB
  • 2. Numpy (New)/10. 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 2.3 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

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！
>