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  • pdf文档 PyTorch Tutorial

    second is hostname Jupyter Notebook VS Code • Install the Python extension. • ???????????? Install the Remote Development extension. • Python files can be run like Jupyter notebooks by delimiting cells/sections which smoothly integrates with the Python data science stack. • It can be considered as NumPy extension to GPUs. • Computational graphs − PyTorch provides an excellent platform which offers dynamic computational load_state_dict(torch.load(PATH)) • model.eval() • CONVENTION IS TO SAVE MODELS USING EITHER A .PT OR A .PTH EXTENSION https://pytorch.org/tutorials/beginner/saving_loading_models.html Saving / Loading Weights (continued)
    0 码力 | 38 页 | 4.09 MB | 1 年前
    3
  • pdf文档 Lecture 5: Gaussian Discriminant Analysis, Naive Bayes

    = � y P(X = x | Y = y)P(Y = y) pY (y) = � x P(X = x, Y = y) = � x P(Y = y | X = x)P(Y = x) Extension to multiple random variables X1, X2, X3, · · · , Xn pX(x1, x2, · · · , xn) = P(X1 = x1, X2 = x2 functions fX(x) = � ∞ −∞ f (x, y)dy for − ∞ < x < ∞ fY (x) = � ∞ −∞ f (x, y)dx for − ∞ < y < ∞ Extension to more than two random variables P(a1 ≤ X1 ≤ b1, · · · , an ≤ Xn ≤ bn) = � b1 a1 · · · � bn
    0 码力 | 122 页 | 1.35 MB | 1 年前
    3
  • pdf文档 《Efficient Deep Learning Book》[EDL] Chapter 3 - Learning Techniques

    samples by learning the intrinsic properties of a training set. These models can be viewed as an extension of mixing techniques as statistical or deep learning techniques are equivalent to mixing a large (learnings) from a larger model or an ensemble of models to a smaller model. In a way, it is an extension of model based data augmentation techniques like GANs such that instead of training a generator
    0 码力 | 56 页 | 18.93 MB | 1 年前
    3
  • pdf文档 Lecture 3: Logistic Regression

    existing multiclass classification techniques can be categorized into Transformation to binary Extension from binary Hierarchical classification Feng Li (SDU) Logistic Regression September 20, 2023 24
    0 码力 | 29 页 | 660.51 KB | 1 年前
    3
  • pdf文档 《Efficient Deep Learning Book》[EDL] Chapter 1 - Introduction

    Bayesian Optimization picks future trials in regions that were more favorable. Source. As an extension to HPO, Neural Architecture Search (NAS) can help go beyond just learning hyper-parameters, and
    0 码力 | 21 页 | 3.17 MB | 1 年前
    3
  • pdf文档 PyTorch Release Notes

    repos getting closer together. ‣ APEx, an extension providing utilities for FP16 and multi-gpu training. For more information, see APEx: A PyTorch Extension and APEx. ‣ Ubuntu 16.04 with April 2018 updates
    0 码力 | 365 页 | 2.94 MB | 1 年前
    3
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