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本次搜索耗时 0.014 秒,为您找到相关结果约 14 个.
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  • pdf文档 深度学习与PyTorch入门实战 - 54. AutoEncoder自编码器

    3a6f8a4f9 Another Approach: ? ? → ?(?) ▪ Explicitly enforce https://stats.stackexchange.com/questions/188903/intuition-on-the-kullback-leibler-kl- divergence Intuitively comprehend KL(p◎q) Maximize ▪ Evidence Lower BOund How to compute KL between ? ? ??? ?(?) https://stats.stackexchange.com/questions/7440/kl-divergence-between-two-univariate- gaussians ? ?? ~ ? ?1, ?1 2 q ?? ~ ?(?2, ?2 2) Sample()
    0 码力 | 29 页 | 3.49 MB | 1 年前
    3
  • pdf文档 Experiment 2: Logistic Regression and Newton's Method

    problem using gradient de- scent method with the initialization θ = 0, and answer the following questions: 1. Assume ϵ = 10−6. How many iterations are required to achieve conver- gence? Note that gradient your results. Newton’s method often converges in 5-15 iterations. Finally, answer the following questions. 1. What values of θ did you get when achieving convergence? 2. Show how L is decreased iteratively
    0 码力 | 4 页 | 196.41 KB | 1 年前
    3
  • pdf文档 《Efficient Deep Learning Book》[EDL] Chapter 1 - Introduction

    computation cost, memory cost, amount of training data, and the training latency. It addresses questions like: ● How long does the model take to train? ● How many devices are needed for the training model is deployed and is in the prediction mode. Hence, inference efficiency primarily deals with questions that someone deploying a model would ask. Is the model small, is it fast, etc.? More concretely
    0 码力 | 21 页 | 3.17 MB | 1 年前
    3
  • pdf文档 深度学习与PyTorch入门实战 - 56. 深度学习:GAN

    https://blog.openai.com/generative-models/ Transposed Convolution https://datascience.stackexchange.com/questions/6107/what-are-deconvolutional- layers VAE V.S. DCGAN https://blog.openai.com/generative-models/
    0 码力 | 42 页 | 5.36 MB | 1 年前
    3
  • pdf文档 QCon北京2018-《从键盘输入到神经网络--深度学习在彭博的应用》-李碧野

    data © 2018 Bloomberg Finance L.P. All rights reserved. bli59@bloomberg.net xyu34@bloomberg.net QUESTIONS?
    0 码力 | 64 页 | 13.45 MB | 1 年前
    3
  • pdf文档 Experiment 1: Linear Regression

    plot at the Matlab/Octave command line for more information on plot styles. Answer the following questions: 1. Observe the changes in the cost function happens as the learning rate changes. What happens
    0 码力 | 7 页 | 428.11 KB | 1 年前
    3
  • pdf文档 Machine Learning Pytorch Tutorial

    Learning 2021 Spring Pytorch Tutorial ● Official Pytorch Tutorials ● https://numpy.org/ Any questions?
    0 码力 | 48 页 | 584.86 KB | 1 年前
    3
  • pdf文档 深度学习在电子商务中的应用

    26 聊天机器人评测结果 • 从实际客户回话中抽样选取约1700个问题 • 问题覆盖不同的应用场景 • 经过4个版本迭代后, 机器人问题回答的准确率和覆盖率均达到业界领先水平 27 Questions and Answers
    0 码力 | 27 页 | 1.98 MB | 1 年前
    3
  • pdf文档 《Efficient Deep Learning Book》[EDL] Chapter 5 - Advanced Compression Techniques

    Advanced Compression Techniques “The problem is that we attempt to solve the simplest questions cleverly, thereby rendering them unusually complex. One should seek the simple solution.” — Anton Pavlovich
    0 码力 | 34 页 | 3.18 MB | 1 年前
    3
  • pdf文档 《Efficient Deep Learning Book》[EDL] Chapter 3 - Learning Techniques

    Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 34. No. 05. 2020. TREC (Open Domain Questions) 6.6 2.8 45.0 WVA (Telco Customer Support) 2.1 4.5 23.0 Table 3-5: Accuracy improvements with
    0 码力 | 56 页 | 18.93 MB | 1 年前
    3
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