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[ DevCourseWeb.com ] Udemy - Fundamentals of Deep Learning - Core Concepts and PyTorch

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  • 种子哈希：1d719e70fd7c3fdc20ecd9349159263ab24b67bf
  • 文档大小：2.5 GB
  • 文档个数：152个文档
  • 下载次数：3363次
  • 下载速度：极快
  • 收录时间：2024-02-16
  • 最近下载：2025-05-14
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文档列表

  • mp4~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/9. Train an MNIST model using PyTorch Lightning II.mp4 124.2 MB
  • mp4~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/10. Next steps.mp4 115.9 MB
  • mp4~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/7. Train an MNIST model using PyTorch's nn module II.mp4 107.1 MB
  • mp4~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/4. Train an MNIST model from scratch in plain PyTorch III.mp4 107.0 MB
  • mp4~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/4. Gradient descent.mp4 105.9 MB
  • mp4~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/3. Train an MNIST model from scratch in plain PyTorch II.mp4 101.0 MB
  • mp4~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/2. Train an MNIST model from scratch in plain PyTorch I.mp4 100.9 MB
  • mp4~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/6. Train an MNIST model using PyTorch's nn module I.mp4 89.1 MB
  • mp4~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/8. Train an MNIST model using PyTorch Lightning I.mp4 87.0 MB
  • mp4~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/11. Computational graph IV - backward pass III.mp4 86.8 MB
  • mp4~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/5. Train an MNIST model from scratch in plain PyTorch IV.mp4 79.3 MB
  • mp4~Get Your Files Here !/1. Deep learning - the big picture/1. Introduction.mp4 75.5 MB
  • mp4~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/10. Computational graph III - backward pass II.mp4 66.6 MB
  • mp4~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/9. Computational graph II - backward pass.mp4 50.4 MB
  • mp4~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/12. Forward and backward pass recap and wrap up.mp4 48.2 MB
  • mp4~Get Your Files Here !/2. Reinventing deep neural network from scratch/3. Network view.mp4 47.6 MB
  • mp4~Get Your Files Here !/4. How to make neural networks work in reality/8. Batch normalization.mp4 46.0 MB
  • mp4~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/5. Calculus detour - partial derivatives and gradient descent.mp4 44.2 MB
  • mp4~Get Your Files Here !/4. How to make neural networks work in reality/4. Stochastic and mini-batch gradient descent.mp4 41.6 MB
  • mp4~Get Your Files Here !/4. How to make neural networks work in reality/1. Vanishing gradient problem.mp4 40.2 MB
    • ==查看完整文档列表==

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