深度学习进阶：算法与应用

mp4   Hot：19   Size：4.48 GB   Created：2017-09-09 01:49:20   Update：2020-05-28 18:12:12  

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File List

  • 07 随机梯度下降算法.mp4 55.44 MB
    18 正态分布和初始化修正版.mp4 79.68 MB
    01 基本概念清晰版.mp4 97.44 MB
    16 Regulization.mp4 106.92 MB
    22 用ReL解决VanishingGradient问题.mp4 112.36 MB
    14 cross entropy函数.mp4 124.94 MB
    25 ConvolutionNeuralNetwork实现下.mp4 139.19 MB
    05 手写数字识别.mp4 141.43 MB
    27 Restricted Boltzmann Machine下.mp4 141.55 MB
    08 梯度下降算法实现上.mp4 142.2 MB
    17 Regulazition和Dropout.mp4 148.16 MB
    24 ConvolutionNeuralNetwork实现上.mp4 159.62 MB
    26 Restricted Boltzmann Machine.mp4 163.19 MB
    20 神经网络参数hyper parameters选择.mp4 170.02 MB
    23 ConvolutionNerualNetwork算法.mp4 176.03 MB
    12 Backpropagation算法下.mp4 176.14 MB
    11 Backpropagation算法上.mp4 187.45 MB
    09 梯度下降算法实现下.mp4 189.19 MB
    19 提高版本的手写数字识别实现.mp4 191.51 MB
    02 软件包安装和环境配置总述.mp4 207.96 MB
    15 Softmax和Overfitting.mp4 214.49 MB
    13 Backpropagation算法实现.mp4 214.92 MB
    03 环境配置分部详解.mp4 218.09 MB
    06 神经网络基本结构及梯度下降算法.mp4 243.1 MB
    04 环境配置分部详解下.mp4 253.06 MB
    21 深度神经网络中的难点.mp4 253.33 MB
    10 神经网络手写数字演示.mp4 283.28 MB

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