首页 磁力链接怎么用

[UdemyCourseDownloader] The Complete Self-Driving Car Course - Applied Deep Learning

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 2019-2-7 21:31 2024-12-21 07:43 338 9.19 GB 138
磁力链接
magnet:?xt=urn:btih:74fdbb1bca6c1d99303ec599678174e79bae1114
迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOjc0ZmRiYjFiY2E2YzFkOTkzMDNlYzU5OTY3ODE3NGU3OWJhZTExMTRaWg==
二维码链接
[UdemyCourseDownloader] The Complete Self-Driving Car Course - Applied Deep Learning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！
相关链接

UdemyCourseDownloader The Complete Self-Driving Car Course - Applied Deep Learning

文件列表
  1. 14. Behavioural Cloning/11. Generator - Augmentation Techniques.mp4380.89MB
  2. 1. Introduction/1. Why This Course.mp425.87MB
  3. 2. Installation/1. Overview.mp45.9MB
  4. 2. Installation/2. Anaconda Distribution - Mac.mp425.24MB
  5. 2. Installation/3. Anaconda Distribution - Windows.mp425.31MB
  6. 2. Installation/4. Text Editor.mp429.1MB
  7. 2. Installation/5. Outro.mp45.53MB
  8. 3. Python Crash Course (Optional)/1. Python Crash Course Part 1 - Data Types.mp415.23MB
  9. 3. Python Crash Course (Optional)/2. Jupyter Notebooks.mp49.98MB
  10. 3. Python Crash Course (Optional)/3. Arithmetic Operations.mp425.44MB
  11. 3. Python Crash Course (Optional)/4. Variables.mp427.68MB
  12. 3. Python Crash Course (Optional)/5. Numeric Data Types.mp423.51MB
  13. 3. Python Crash Course (Optional)/6. String Data Types.mp441.96MB
  14. 3. Python Crash Course (Optional)/7. Booleans.mp424.24MB
  15. 3. Python Crash Course (Optional)/8. Methods.mp420.7MB
  16. 3. Python Crash Course (Optional)/9. Lists.mp435.82MB
  17. 3. Python Crash Course (Optional)/10. Slicing.mp455.56MB
  18. 3. Python Crash Course (Optional)/11. Membership Operators.mp413.79MB
  19. 3. Python Crash Course (Optional)/12. Mutability.mp432.97MB
  20. 3. Python Crash Course (Optional)/13. Mutability II.mp431.64MB
  21. 3. Python Crash Course (Optional)/14. Common Functions & Methods.mp446.79MB
  22. 3. Python Crash Course (Optional)/15. Tuples.mp423.06MB
  23. 3. Python Crash Course (Optional)/16. Sets.mp419.64MB
  24. 3. Python Crash Course (Optional)/17. Dictionaries.mp435.35MB
  25. 3. Python Crash Course (Optional)/18. Compound Data Structures.mp420.19MB
  26. 3. Python Crash Course (Optional)/19. Part 1 - Outro.mp43.62MB
  27. 3. Python Crash Course (Optional)/20. Part 2 - Control Flow.mp411.48MB
  28. 3. Python Crash Course (Optional)/21. If, else.mp427.17MB
  29. 3. Python Crash Course (Optional)/22. elif.mp449.04MB
  30. 3. Python Crash Course (Optional)/23. Complex Comparisons.mp429.53MB
  31. 3. Python Crash Course (Optional)/24. For Loops.mp438.5MB
  32. 3. Python Crash Course (Optional)/25. For Loops II.mp415.07MB
  33. 3. Python Crash Course (Optional)/26. While Loops.mp420.2MB
  34. 3. Python Crash Course (Optional)/27. Break.mp419.72MB
  35. 3. Python Crash Course (Optional)/28. Part 2 - Outro.mp44.48MB
  36. 3. Python Crash Course (Optional)/29. Part 3 - Functions.mp411.43MB
  37. 3. Python Crash Course (Optional)/30. Functions.mp431.62MB
  38. 3. Python Crash Course (Optional)/31. Scope.mp413.17MB
  39. 3. Python Crash Course (Optional)/32. Doc Strings.mp419.59MB
  40. 3. Python Crash Course (Optional)/33. Lambda & Higher Order Functions.mp428.4MB
  41. 3. Python Crash Course (Optional)/34. Part 3 - Outro.mp48.84MB
  42. 4. NumPy Crash Course (Optional)/1. Overview.mp410.59MB
  43. 4. NumPy Crash Course (Optional)/2. Vector Addition - Arrays vs Lists.mp486.82MB
  44. 4. NumPy Crash Course (Optional)/3. Multidimensional Arrays.mp496.82MB
  45. 4. NumPy Crash Course (Optional)/4. One Dimensional Slicing.mp425.03MB
  46. 4. NumPy Crash Course (Optional)/5. Reshaping.mp423.41MB
  47. 4. NumPy Crash Course (Optional)/6. Multidimensional Slicing.mp449.16MB
  48. 4. NumPy Crash Course (Optional)/7. Manipulating Array Shapes.mp447.76MB
  49. 4. NumPy Crash Course (Optional)/8. Matrix Multiplication.mp434.28MB
  50. 4. NumPy Crash Course (Optional)/9. Stacking.mp482.31MB
  51. 4. NumPy Crash Course (Optional)/10. Part 4 - Outro.mp42.48MB
  52. 5. Computer Vision Finding Lane Lines/1. Overview.mp49MB
  53. 5. Computer Vision Finding Lane Lines/3. Loading Image.mp440.23MB
  54. 5. Computer Vision Finding Lane Lines/4. Grayscale Conversion.mp447.23MB
  55. 5. Computer Vision Finding Lane Lines/5. Smoothening Image.mp430.57MB
  56. 5. Computer Vision Finding Lane Lines/6. Simple Edge Detection.mp442.64MB
  57. 5. Computer Vision Finding Lane Lines/7. Region of Interest.mp449.33MB
  58. 5. Computer Vision Finding Lane Lines/8. Binary Numbers & Bitwise_and.mp491.8MB
  59. 5. Computer Vision Finding Lane Lines/9. Line Detection - Hough Transform.mp4132.64MB
  60. 5. Computer Vision Finding Lane Lines/10. Hough Transform II.mp4114.7MB
  61. 5. Computer Vision Finding Lane Lines/11. Optimizing.mp4164.52MB
  62. 5. Computer Vision Finding Lane Lines/13. Finding Lanes on Video.mp482.8MB
  63. 5. Computer Vision Finding Lane Lines/13.1 test2.mp4.mp431.93MB
  64. 5. Computer Vision Finding Lane Lines/15. Part 5 - Conclusion.mp410.23MB
  65. 6. The Perceptron/1. Overview.mp427.76MB
  66. 6. The Perceptron/2. Machine Learning.mp437.03MB
  67. 6. The Perceptron/3. Supervised Learning - Friendly Example.mp446.59MB
  68. 6. The Perceptron/4. Classification.mp482.08MB
  69. 6. The Perceptron/5. Linear Model.mp486.36MB
  70. 6. The Perceptron/6. Perceptrons.mp450.68MB
  71. 6. The Perceptron/7. Weights.mp425.29MB
  72. 6. The Perceptron/8. Project - Initial Stages.mp478.25MB
  73. 6. The Perceptron/10. Error Function.mp441.63MB
  74. 6. The Perceptron/11. Sigmoid.mp461.73MB
  75. 6. The Perceptron/12. Sigmoid Implementation (Code).mp490.73MB
  76. 6. The Perceptron/14. Cross Entropy.mp462.73MB
  77. 6. The Perceptron/15. Cross Entropy (Code).mp461.25MB
  78. 6. The Perceptron/17. Gradient Descent.mp445.18MB
  79. 6. The Perceptron/18. Gradient Descent (Code).mp475.74MB
  80. 6. The Perceptron/19. Recap.mp417.74MB
  81. 6. The Perceptron/21. Part 6 - Conclusion.mp49.69MB
  82. 7. Keras/1. Overview.mp46.81MB
  83. 7. Keras/2. Intro to Keras.mp419.98MB
  84. 7. Keras/4. Keras Models.mp4175.26MB
  85. 7. Keras/5. Keras - Predictions.mp4144.46MB
  86. 7. Keras/7. Part 7 - Outro.mp44.83MB
  87. 8. Deep Neural Networks/1. Overview.mp415.65MB
  88. 8. Deep Neural Networks/2. Non-Linear Boundaries.mp471.12MB
  89. 8. Deep Neural Networks/3. Architecture.mp4126.03MB
  90. 8. Deep Neural Networks/4. Feedforward Process.mp488.9MB
  91. 8. Deep Neural Networks/5. Error Function.mp454.07MB
  92. 8. Deep Neural Networks/6. Backpropagation.mp465.4MB
  93. 8. Deep Neural Networks/7. Code Implementation.mp4204.25MB
  94. 8. Deep Neural Networks/9. Section 8 - Conclusion.mp46.02MB
  95. 9. Multiclass Classification/1. Overview.mp410.4MB
  96. 9. Multiclass Classification/2. Softmax.mp4141.67MB
  97. 9. Multiclass Classification/3. Cross Entropy.mp481.95MB
  98. 9. Multiclass Classification/4. Implementation.mp4245.3MB
  99. 9. Multiclass Classification/6. Section 9 - Outro.mp45.4MB
  100. 10. MNIST Image Recognition/1. Overview.mp410.83MB
  101. 10. MNIST Image Recognition/2. MNIST Dataset.mp470.96MB
  102. 10. MNIST Image Recognition/3. Train & Test.mp4132.04MB
  103. 10. MNIST Image Recognition/4. Hyperparameters.mp481.23MB
  104. 10. MNIST Image Recognition/5. Implementation Part 1.mp4194.02MB
  105. 10. MNIST Image Recognition/6. Implementation Part 2.mp4155.9MB
  106. 10. MNIST Image Recognition/8. Implementation Part 3.mp475.33MB
  107. 10. MNIST Image Recognition/10. Section 10 - Outro.mp45.96MB
  108. 11. Convolutional Neural Networks/1. Overview.mp49.63MB
  109. 11. Convolutional Neural Networks/2. Convolutions & MNIST.mp489.98MB
  110. 11. Convolutional Neural Networks/3. Convolutional Layer.mp4229.8MB
  111. 11. Convolutional Neural Networks/4. Convolutions II.mp479.79MB
  112. 11. Convolutional Neural Networks/5. Pooling.mp4161.92MB
  113. 11. Convolutional Neural Networks/6. Fully Connected Layer.mp477.89MB
  114. 11. Convolutional Neural Networks/8. Code Implementation I.mp4254.53MB
  115. 11. Convolutional Neural Networks/9. Code Implementation II.mp4213.41MB
  116. 11. Convolutional Neural Networks/11. Section 11 - Conclusion.mp44.77MB
  117. 12. Classifying Road Symbols/1. Overview.mp414.49MB
  118. 12. Classifying Road Symbols/3. Preprocessing Images.mp4330.4MB
  119. 12. Classifying Road Symbols/4. leNet Implementation.mp4129.39MB
  120. 12. Classifying Road Symbols/5. Fine-tuning Model.mp4117.04MB
  121. 12. Classifying Road Symbols/7. Testing.mp463.15MB
  122. 12. Classifying Road Symbols/8. Fit Generator.mp4159.84MB
  123. 12. Classifying Road Symbols/10. Section 12 - Outro.mp49.93MB
  124. 13. Polynomial Regression/1. Overview.mp47.55MB
  125. 13. Polynomial Regression/2. Implementation.mp4128.86MB
  126. 13. Polynomial Regression/4. Section 13 - Conclusion.mp45.19MB
  127. 14. Behavioural Cloning/1. Overview.mp450.21MB
  128. 14. Behavioural Cloning/2. Collecting Data.mp4282.41MB
  129. 14. Behavioural Cloning/3. Downloading Data.mp4130.62MB
  130. 14. Behavioural Cloning/4. Balancing Data.mp474.71MB
  131. 14. Behavioural Cloning/5. Training & Validation Split.mp465.74MB
  132. 14. Behavioural Cloning/6. Preprocessing Images.mp4161.75MB
  133. 14. Behavioural Cloning/7. Defining Nvidia Model.mp4198.55MB
  134. 14. Behavioural Cloning/9. Flask & Socket.io.mp499.77MB
  135. 14. Behavioural Cloning/10. Self Driving Car - Test 1.mp4165.97MB
  136. 14. Behavioural Cloning/12. Batch Generator.mp495.11MB
  137. 14. Behavioural Cloning/13. Fit Generator.mp4248.41MB
  138. 14. Behavioural Cloning/15. Outro.mp419.58MB
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
838888磁力链接 磁力链接bt种子搜索引擎磁力搜索 DMCA