深度学习与PyTorch入门实战教程

mp4   Hot：8   Size：3.37 GB   Created：2020-02-26 14:50:32   Update：2021-08-01 04:35:13  

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File List

  • P35 Lesson21 MLP反向传播.mp4 82.01 MB
    P38 Lesson25 交叉熵.mp4 72.77 MB
    P03 Lesson03 初探Linear Regression案例-1.mp4 71.93 MB
    P26 Lesson16 什么是梯度-1.mp4 69.17 MB
    P75 Lesson53 情感分类实战.mp4 68.58 MB
    P22 Lesson12 基本运算.mp4 67.11 MB
    P31 Lesson18 激活函数及其梯度-3.mp4 65.34 MB
    P53 Lesson38 卷积神经网络-2.mp4 62.89 MB
    P50 Lesson37 什么是卷积-1.mp4 62.76 MB
    P25 Lesson14 高阶OP.mp4 61.86 MB
    P18 Lesson10 Broadcasting自动扩展-1.mp4 57.86 MB
    P71 Lesson50 RNN训练难题.mp4 55 MB
    P24 Lesson13 统计属性-2.mp4 54.7 MB
    P02 Lesson02 开发环境准备.mp4 54.47 MB
    P08 Lesson06 基本数据类型-1.mp4 54.35 MB
    P42 Lesson29 测试.mp4 53.8 MB
    P65 Lesson46 时间序列表示.mp4 53.55 MB
    P70 Lesson49 时间序列预测.mp4 53.3 MB
    P60 Lesson42 深度残差网络-1.mp4 53.18 MB
    P43 Lesson30 Visdom可视化.mp4 52.77 MB
    P40 Lesson27 全连接层.mp4 52.13 MB
    P10 Lesson07 创建Tensor-1.mp4 51.58 MB
    P48 Lesson34 动量与学习率衰减.mp4 51.46 MB
    P57 Lesson40 Batch Norm-2.mp4 51.27 MB
    P49 Lesson35 Early Stop, Dropout.mp4 51.23 MB
    P33 Lesson19 感知机-2.mp4 49.69 MB
    P58 Lesson41 经典卷积网络-1.mp4 49.28 MB
    P01 Lesson01 PyTorch介绍.mp4 48.66 MB
    P37 Lesson24 Logistic Regression.mp4 47.84 MB
    P32 Lesson19 感知机-1.mp4 47.44 MB
    P12 Lesson08 索引与切片-1.mp4 47.24 MB
    P64 Lesson44 数据增强.mp4 46.85 MB
    P20 Lesson11 拼接与拆分-1.mp4 46.78 MB
    P19 Lesson10 Broadcasting自动扩展-2.mp4 46.18 MB
    P45 Lesson32 Train-Val-Test划分-1.mp4 45.95 MB
    P73 Lesson51 LSTM-2.mp4 45.7 MB
    P29 Lesson18 激活函数及其梯度-1.mp4 45.53 MB
    P13 Lesson08 索引与切片-2.mp4 45.42 MB
    P62 Lesson43 nn.Module-1.mp4 44.98 MB
    P30 Lesson18 激活函数及其梯度-2.mp4 44.38 MB
    P11 Lesson07 创建Tensor-2.mp4 44.27 MB
    P61 Lesson42 深度残差网络-2.mp4 43.56 MB
    P27 Lesson16 什么是梯度-2.mp4 43.31 MB
    P04 Lesson03 初探Linear Regression案例-2.mp4 43.15 MB
    P44 Lesson31 过拟合与欠拟合.mp4 42.48 MB
    P56 Lesson40 Batch Norm-1.mp4 41.45 MB
    P52 Lesson38 卷积神经网络-1.mp4 41.36 MB
    P17 Lesson09 Tensor维度变换-4.mp4 40.8 MB
    P16 Lesson09 Tensor维度变换-3.mp4 40.76 MB
    P15 Lesson09 Tensor维度变换-2.mp4 40.69 MB
    P59 Lesson41 经典卷积网络-2.mp4 40.38 MB
    P34 Lesson20 链式法则.mp4 39.94 MB
    P23 Lesson13 统计属性-1.mp4 39.94 MB
    P51 Lesson37 什么是卷积-2.mp4 39.6 MB
    P41 Lesson28 激活函数与GPU加速.mp4 39.59 MB
    P36 Lesson22 2D函数优化实例.mp4 39.18 MB
    P47 Lesson33 Regularization.mp4 39.04 MB
    P06 Lesson05 手写数字问题引入-1.mp4 36.74 MB
    P05 Lesson04 PyTorch求解Linear Regression案例.mp4 35.72 MB
    P54 Lesson38 卷积神经网络-3.mp4 35.46 MB
    P39 Lesson26 多分类问题.mp4 35 MB
    P67 Lesson47 循环神经网络-2.mp4 34.94 MB
    P68 Lesson48 RNN Layer使用-1.mp4 34.23 MB
    P55 Lesson39 Down sample, up sample.mp4 34.05 MB
    P14 Lesson09 Tensor维度变换-1.mp4 33.07 MB
    P72 Lesson51 LSTM-1.mp4 32.97 MB
    P46 Lesson32 Train-Val-Test划分-2.mp4 32.32 MB
    P63 Lesson43 nn.Module-2.mp4 31.43 MB
    P21 Lesson11 拼接与拆分-2.mp4 30.81 MB
    P69 Lesson48 RNN Layer使用-2.mp4 29.91 MB
    P74 Lesson52 LSTM使用.mp4 28.45 MB
    P66 Lesson47 循环神经网络-1.mp4 28.41 MB
    P09 Lesson06 基本数据类型-2.mp4 28.2 MB
    P07 Lesson05 手写数字问题引入-2.mp4 21.03 MB
    P28 Lesson17 常见函数梯度.mp4 18.38 MB

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