首页 磁力链接怎么用

[FreeCourseLab.com] Udemy - Advanced Machine Learning & Data Analysis Projects Bootcamp

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 2020-1-1 20:41 2024-12-16 18:25 150 4.87 GB 115
二维码链接
[FreeCourseLab.com] Udemy - Advanced Machine Learning & Data Analysis Projects Bootcamp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 to Machine Learning + Software/1. Projects Overview.mp47.03MB
  2. 10. Building Apps With Machine Learning/1. Introduction - Improving Model Efficiency.mp427.84MB
  3. 10. Building Apps With Machine Learning/3. Introduction to Tensorflow Lite.mp440.85MB
  4. 11. Text Summarizer/1. Introduction.mp420.18MB
  5. 11. Text Summarizer/2. Exploring How Model Is Built.mp464.88MB
  6. 11. Text Summarizer/3. Exploring Training and Summarizing Mechanisms.mp446.5MB
  7. 11. Text Summarizer/4. Exploring Training and Summarizing Code.mp436.77MB
  8. 11. Text Summarizer/5. Testing the Model.mp424.47MB
  9. 12. Object Localization/1. Introductions.mp415.51MB
  10. 12. Object Localization/2. Examining Project Code.mp473.51MB
  11. 12. Object Localization/3. Testing with a Mobile Device.mp434.17MB
  12. 13. Object Recognition/1. Introduction.mp415.23MB
  13. 13. Object Recognition/2. Examining Code.mp4110.63MB
  14. 13. Object Recognition/3. Testing on Mobile Device.mp428.7MB
  15. 14. Introduction to Tensorboard/1. Introduction to Upcoming Projects.mp411.24MB
  16. 14. Introduction to Tensorboard/2. Examining Computational Graph In Tensorboard.mp463.01MB
  17. 14. Introduction to Tensorboard/3. Analyzing Scalars and Histograms.mp455.12MB
  18. 14. Introduction to Tensorboard/4. Modifying Model Parameters Across Multiple Runs.mp450.55MB
  19. 15. Advanced Machine Learning Concepts/1. Introduction to Upcoming Projects.mp499.47MB
  20. 16. Advanced MNIST/1. Project Demonstration.mp415.26MB
  21. 16. Advanced MNIST/10. Load and Display Digit Images.mp429.58MB
  22. 16. Advanced MNIST/11. Formatting Model Input.mp460.9MB
  23. 16. Advanced MNIST/12. Displaying Results and Summary.mp451.59MB
  24. 16. Advanced MNIST/2. Project Overview.mp411.71MB
  25. 16. Advanced MNIST/3. Building Neuron Functions.mp431.84MB
  26. 16. Advanced MNIST/4. Building the Convolutional Layers.mp449.24MB
  27. 16. Advanced MNIST/5. Building Dense, Dropout, and Readout Layers.mp467.65MB
  28. 16. Advanced MNIST/6. Writing Loss and Optimizer Functions and Training and Testing.mp492.58MB
  29. 16. Advanced MNIST/7. Optimizing Saved Graph.mp442.35MB
  30. 16. Advanced MNIST/8. Setting up Android Project.mp451.81MB
  31. 16. Advanced MNIST/9. Setting Up UI.mp450.96MB
  32. 17. Advanced CIFAR 100/1. Project Demo.mp413.54MB
  33. 17. Advanced CIFAR 100/10. Project Summary.mp441.83MB
  34. 17. Advanced CIFAR 100/2. Project Overview.mp411.37MB
  35. 17. Advanced CIFAR 100/3. Inputting and Formatting Data.mp438.7MB
  36. 17. Advanced CIFAR 100/4. Building the Model.mp442.57MB
  37. 17. Advanced CIFAR 100/5. Training, Testing, and Freezing the Model.mp441.11MB
  38. 17. Advanced CIFAR 100/6. Setting up Android Project.mp442.89MB
  39. 17. Advanced CIFAR 100/7. Building User Interface.mp437.71MB
  40. 17. Advanced CIFAR 100/8. Loading and Displaying Images.mp430.82MB
  41. 17. Advanced CIFAR 100/9. Converting Image Data and Running Inference.mp433.25MB
  42. 18. Introduction to iOS/1. Introduction to iOS.mp46.48MB
  43. 19. Introduction to Xcode/1. Downloading and Installing Xcode.mp423.27MB
  44. 19. Introduction to Xcode/2. Exploring XCode's Interface.mp449.71MB
  45. 2. Android Studio/1. Downloading and Installing Android Studio.mp427.57MB
  46. 2. Android Studio/2. Exploring Interface.mp444.88MB
  47. 2. Android Studio/3. Setting up an Emulator and Running Project.mp427.85MB
  48. 20. Coding Crash Course - Swift Programming Language/1. Variables.mp429.13MB
  49. 20. Coding Crash Course - Swift Programming Language/2. Variable Operations.mp442.92MB
  50. 20. Coding Crash Course - Swift Programming Language/3. Collections.mp432.08MB
  51. 20. Coding Crash Course - Swift Programming Language/4. Control Flow.mp437.8MB
  52. 20. Coding Crash Course - Swift Programming Language/5. Functions.mp420.3MB
  53. 20. Coding Crash Course - Swift Programming Language/6. Classes and Objects.mp435.09MB
  54. 21. iOS App Development/1. Building App From Start to Finish.mp443.46MB
  55. 22. Introduction to CoreML/1. Introduction to CoreML.mp433.19MB
  56. 23. iOS Image Recognition/1. Project Demonstration.mp414.17MB
  57. 23. iOS Image Recognition/2. Project Setup.mp426.47MB
  58. 23. iOS Image Recognition/3. Displaying and Resizing Images.mp439.29MB
  59. 23. iOS Image Recognition/4. Converting Image to Pixel Buffer.mp459.78MB
  60. 23. iOS Image Recognition/5. Project Summary.mp432.83MB
  61. 24. iOS Tensorflow Model Importing/1. Project Introduction.mp414.81MB
  62. 24. iOS Tensorflow Model Importing/2. Converting pb to mlmodel File and Setup.mp426.18MB
  63. 24. iOS Tensorflow Model Importing/3. Running Inference Through Model.mp440.31MB
  64. 24. iOS Tensorflow Model Importing/4. Testing and Summary.mp416.24MB
  65. 25. Starting Projects in Pandas/2. Setting up Pandas.mp412.76MB
  66. 26. Working With Data Structures/1. Creating a DataFrame.mp496.35MB
  67. 26. Working With Data Structures/2. Sorting and Series.mp487.61MB
  68. 26. Working With Data Structures/3. Expanding a Dataframe.mp486.13MB
  69. 27. Manipulating DataFrames/1. Getting Values and dealing with NaN Values.mp4107.1MB
  70. 27. Manipulating DataFrames/2. Dropping rows and columns.mp4127.61MB
  71. 28. Reading and Writing Data/1. Reading from CSV.mp487.18MB
  72. 28. Reading and Writing Data/2. Writing to CSV.mp4106.74MB
  73. 29. Analytical Approaches to Data/1. Starting with an analysis.mp4108.84MB
  74. 29. Analytical Approaches to Data/2. Locating data by labels.mp4108.81MB
  75. 29. Analytical Approaches to Data/3. Statistical description of data.mp4108.92MB
  76. 29. Analytical Approaches to Data/4. Histogram plots in pandas.mp4117.97MB
  77. 29. Analytical Approaches to Data/5. Starting an analysis of all our data.mp4105.53MB
  78. 29. Analytical Approaches to Data/6. Continuing an analysis of all our data.mp491.09MB
  79. 3. Java/1. Intro to Language Basics.mp410.31MB
  80. 3. Java/10. Parameters and Return Values.mp427.08MB
  81. 3. Java/11. Classes and Objects Intro.mp437MB
  82. 3. Java/12. Superclass and Subclasses.mp441.05MB
  83. 3. Java/13. Static Variables and Axis Modifiers.mp429MB
  84. 3. Java/2. Variable Types.mp441.75MB
  85. 3. Java/3. Operations on Variables.mp435.14MB
  86. 3. Java/4. Array and Lists.mp428.61MB
  87. 3. Java/5. Array and List Operations.mp429.62MB
  88. 3. Java/6. If and Switch Statements.mp440.37MB
  89. 3. Java/7. While Loops.mp426.9MB
  90. 3. Java/8. For Loops.mp426.34MB
  91. 3. Java/9. Functions Intro.mp428.55MB
  92. 4. App Development/1. Intro To Android App Development.mp47.37MB
  93. 4. App Development/2. Building Basic UI.mp456.12MB
  94. 4. App Development/3. Connecting UI to Backend.mp424.91MB
  95. 4. App Development/4. Implementing Backend and Tidying UI.mp437.82MB
  96. 6. Pycharm/1. Project Overview.mp47.07MB
  97. 7. Introduction/1. Downloading and Installing Pycharm and Python.mp426.12MB
  98. 7. Introduction/2. Exploring Pycharm.mp423.24MB
  99. 8. Python Language Basics/1. Introduction to Variables.mp434.8MB
  100. 8. Python Language Basics/2. Variables Operations and Conversions.mp440.53MB
  101. 8. Python Language Basics/3. Collection Types.mp436.46MB
  102. 8. Python Language Basics/4. Collections Operations.mp432.06MB
  103. 8. Python Language Basics/5. Control Flow If Statements.mp439.91MB
  104. 8. Python Language Basics/6. While and For Loops.mp435.05MB
  105. 8. Python Language Basics/7. Functions.mp433.34MB
  106. 8. Python Language Basics/8. Classes and Objects.mp443.6MB
  107. 9. Tensorflow/1. Project Demo.mp413.05MB
  108. 9. Tensorflow/2. Topics List.mp418.25MB
  109. 9. Tensorflow/3. Importing Tensorflow to Pycharm.mp415.03MB
  110. 9. Tensorflow/4. Constant Nodes and Sessions.mp424.11MB
  111. 9. Tensorflow/5. Variable Nodes.mp438.89MB
  112. 9. Tensorflow/6. Placeholder Nodes.mp428.23MB
  113. 9. Tensorflow/7. Operation nodes.mp450.72MB
  114. 9. Tensorflow/8. Loss, Optimizers, and Training.mp445.04MB
  115. 9. Tensorflow/9. Building a Linear Regression Model.mp477.08MB
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