首页 磁力链接怎么用

[FreeTutorials.Us] Udemy - practical-deep-learning-with-pytorch

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 2018-9-9 21:42 2024-4-21 14:44 80 1.04 GB 58
磁力链接
magnet:?xt=urn:btih:ba63edfbf2539f4839f172daca8eb50398a3835a
迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOmJhNjNlZGZiZjI1MzlmNDgzOWYxNzJkYWNhOGViNTAzOThhMzgzNWFaWg==
二维码链接
[FreeTutorials.Us] Udemy - practical-deep-learning-with-pytorch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

FreeTutorials Us Udemy - practical-deep-learning-with-pytorch

文件列表
  1. 01 Introduction/001 Introduction.mp411.34MB
  2. 02 Software Requirements/002 CPU Software Requirements.mp47.32MB
  3. 02 Software Requirements/003 CPU Installation of PyTorch.mp44.74MB
  4. 02 Software Requirements/004 PyTorch with GPU on AWS.mp424.12MB
  5. 02 Software Requirements/005 PyTorch with GPU on Linux.mp411.56MB
  6. 02 Software Requirements/006 PyTorch with GPU on MacOSX.mp412.42MB
  7. 03 PyTorch Fundamentals_ Matrices/007 Matrix Basics.mp46.84MB
  8. 03 PyTorch Fundamentals_ Matrices/008 Seed for Reproducibility.mp48.52MB
  9. 03 PyTorch Fundamentals_ Matrices/009 Torch to NumPy Bridge.mp413.43MB
  10. 03 PyTorch Fundamentals_ Matrices/010 NumPy to Torch Bridge.mp41.87MB
  11. 03 PyTorch Fundamentals_ Matrices/011 GPU and CPU Toggling.mp43.4MB
  12. 03 PyTorch Fundamentals_ Matrices/012 Basic Mathematical Tensor Operations.mp421.21MB
  13. 03 PyTorch Fundamentals_ Matrices/013 Summary of Matrices.mp42.99MB
  14. 04 PyTorch Fundamentals_ Variables and Gradients/014 Variables.mp47.13MB
  15. 04 PyTorch Fundamentals_ Variables and Gradients/015 Gradients.mp415.21MB
  16. 04 PyTorch Fundamentals_ Variables and Gradients/016 Summary of Variables and Gradients.mp41.61MB
  17. 05 Linear Regression with PyTorch/017 Linear Regression Introduction.mp48.4MB
  18. 05 Linear Regression with PyTorch/018 Linear Regression in PyTorch.mp460.67MB
  19. 05 Linear Regression with PyTorch/019 Linear Regression From CPU to GPU in PyTorch.mp419.72MB
  20. 05 Linear Regression with PyTorch/020 Summary of Linear Regression.mp46.38MB
  21. 06 Logistic Regression with PyTorch/021 Logistic Regression Introduction.mp47.25MB
  22. 06 Logistic Regression with PyTorch/022 Linear Regression Problems.mp49.16MB
  23. 06 Logistic Regression with PyTorch/023 Logistic Regression In-depth.mp424.99MB
  24. 06 Logistic Regression with PyTorch/024 Logistic Regression with PyTorch.mp4118.16MB
  25. 06 Logistic Regression with PyTorch/025 Logistic Regression From CPU to GPU in PyTorch.mp420.66MB
  26. 06 Logistic Regression with PyTorch/026 Summary of Logistic Regression.mp46.49MB
  27. 07 Feedforward Neural Network with PyTorch/027 Logistic Regression Transition to Feedforward Neural Network.mp47.94MB
  28. 07 Feedforward Neural Network with PyTorch/028 Non-linearity.mp417.62MB
  29. 07 Feedforward Neural Network with PyTorch/029 Feedforward Neural Network in PyTorch.mp463.1MB
  30. 07 Feedforward Neural Network with PyTorch/030 More Feedforward Neural Network Models in PyTorch.mp440.74MB
  31. 07 Feedforward Neural Network with PyTorch/031 Feedforward Neural Network From CPU to GPU in PyTorch.mp415.52MB
  32. 07 Feedforward Neural Network with PyTorch/032 Summary of Feedforward Neural Network.mp411.5MB
  33. 08 Convolutional Neural Network (CNN) with PyTorch/033 Feedforward Neural Network Transition to CNN.mp46.96MB
  34. 08 Convolutional Neural Network (CNN) with PyTorch/034 One Convolutional Layer_ Input Depth of 1.mp428.51MB
  35. 08 Convolutional Neural Network (CNN) with PyTorch/035 One Convolutional Layer_ Input Depth of 3.mp418.74MB
  36. 08 Convolutional Neural Network (CNN) with PyTorch/036 One Convolutional Layer Summary.mp45.38MB
  37. 08 Convolutional Neural Network (CNN) with PyTorch/037 Multiple Convolutional Layers Overview.mp45.2MB
  38. 08 Convolutional Neural Network (CNN) with PyTorch/038 Pooling Layers.mp415.14MB
  39. 08 Convolutional Neural Network (CNN) with PyTorch/039 Padding for Convolutional Layers.mp420.86MB
  40. 08 Convolutional Neural Network (CNN) with PyTorch/040 Output Size Calculation.mp411.55MB
  41. 08 Convolutional Neural Network (CNN) with PyTorch/041 CNN in PyTorch.mp457.03MB
  42. 08 Convolutional Neural Network (CNN) with PyTorch/042 More CNN Models in PyTorch.mp429.02MB
  43. 08 Convolutional Neural Network (CNN) with PyTorch/043 CNN Models Summary.mp43.56MB
  44. 08 Convolutional Neural Network (CNN) with PyTorch/044 Expanding Model's Capacity.mp43.43MB
  45. 08 Convolutional Neural Network (CNN) with PyTorch/045 CNN From CPU to GPU in PyTorch.mp410.65MB
  46. 08 Convolutional Neural Network (CNN) with PyTorch/046 Summary of CNN.mp47.19MB
  47. 09 Recurrent Neural Networks (RNN)/047 Introduction to RNN.mp419.2MB
  48. 09 Recurrent Neural Networks (RNN)/048 RNN in PyTorch.mp442.68MB
  49. 09 Recurrent Neural Networks (RNN)/049 More RNN Models in PyTorch.mp441.94MB
  50. 09 Recurrent Neural Networks (RNN)/050 RNN From CPU to GPU in PyTorch.mp412.44MB
  51. 09 Recurrent Neural Networks (RNN)/051 Summary of RNN.mp45.41MB
  52. 10 Long Short-Term Memory Networks (LSTM)/052 Introduction to LSTMs.mp420.06MB
  53. 10 Long Short-Term Memory Networks (LSTM)/053 LSTM Equations.mp48.75MB
  54. 10 Long Short-Term Memory Networks (LSTM)/054 LSTM in PyTorch.mp437.97MB
  55. 10 Long Short-Term Memory Networks (LSTM)/055 More LSTM Models in PyTorch.mp428.21MB
  56. 10 Long Short-Term Memory Networks (LSTM)/056 LSTM From CPU to GPU in PyTorch.mp49.73MB
  57. 10 Long Short-Term Memory Networks (LSTM)/057 Summary of LSTM.mp44.05MB
  58. 11 What's Next_/058 What's Next_.mp415.91MB
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