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Torrent Details
深度学习与PyTorch入门实战教程
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3.37 GB
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深度学习与PyTorch入门实战教程
P01 Lesson01 PyTorch介绍.mp4
- 48.66 MB
P02 Lesson02 开发环境准备.mp4
- 54.47 MB
P03 Lesson03 初探Linear Regression案例-1.mp4
- 71.93 MB
P04 Lesson03 初探Linear Regression案例-2.mp4
- 43.15 MB
P05 Lesson04 PyTorch求解Linear Regression案例.mp4
- 35.72 MB
P06 Lesson05 手写数字问题引入-1.mp4
- 36.74 MB
P07 Lesson05 手写数字问题引入-2.mp4
- 21.03 MB
P08 Lesson06 基本数据类型-1.mp4
- 54.35 MB
P09 Lesson06 基本数据类型-2.mp4
- 28.2 MB
P10 Lesson07 创建Tensor-1.mp4
- 51.58 MB
P11 Lesson07 创建Tensor-2.mp4
- 44.27 MB
P12 Lesson08 索引与切片-1.mp4
- 47.24 MB
P13 Lesson08 索引与切片-2.mp4
- 45.42 MB
P14 Lesson09 Tensor维度变换-1.mp4
- 33.07 MB
P15 Lesson09 Tensor维度变换-2.mp4
- 40.69 MB
P16 Lesson09 Tensor维度变换-3.mp4
- 40.76 MB
P17 Lesson09 Tensor维度变换-4.mp4
- 40.8 MB
P18 Lesson10 Broadcasting自动扩展-1.mp4
- 57.86 MB
P19 Lesson10 Broadcasting自动扩展-2.mp4
- 46.18 MB
P20 Lesson11 拼接与拆分-1.mp4
- 46.78 MB
P21 Lesson11 拼接与拆分-2.mp4
- 30.81 MB
P22 Lesson12 基本运算.mp4
- 67.11 MB
P23 Lesson13 统计属性-1.mp4
- 39.94 MB
P24 Lesson13 统计属性-2.mp4
- 54.7 MB
P25 Lesson14 高阶OP.mp4
- 61.86 MB
P26 Lesson16 什么是梯度-1.mp4
- 69.17 MB
P27 Lesson16 什么是梯度-2.mp4
- 43.31 MB
P28 Lesson17 常见函数梯度.mp4
- 18.38 MB
P29 Lesson18 激活函数及其梯度-1.mp4
- 45.53 MB
P30 Lesson18 激活函数及其梯度-2.mp4
- 44.38 MB
P31 Lesson18 激活函数及其梯度-3.mp4
- 65.34 MB
P32 Lesson19 感知机-1.mp4
- 47.44 MB
P33 Lesson19 感知机-2.mp4
- 49.69 MB
P34 Lesson20 链式法则.mp4
- 39.94 MB
P35 Lesson21 MLP反向传播.mp4
- 82.01 MB
P36 Lesson22 2D函数优化实例.mp4
- 39.18 MB
P37 Lesson24 Logistic Regression.mp4
- 47.84 MB
P38 Lesson25 交叉熵.mp4
- 72.77 MB
P39 Lesson26 多分类问题.mp4
- 35 MB
P40 Lesson27 全连接层.mp4
- 52.13 MB
P41 Lesson28 激活函数与GPU加速.mp4
- 39.59 MB
P42 Lesson29 测试.mp4
- 53.8 MB
P43 Lesson30 Visdom可视化.mp4
- 52.77 MB
P44 Lesson31 过拟合与欠拟合.mp4
- 42.48 MB
P45 Lesson32 Train-Val-Test划分-1.mp4
- 45.95 MB
P46 Lesson32 Train-Val-Test划分-2.mp4
- 32.32 MB
P47 Lesson33 Regularization.mp4
- 39.04 MB
P48 Lesson34 动量与学习率衰减.mp4
- 51.46 MB
P49 Lesson35 Early Stop, Dropout.mp4
- 51.23 MB
P50 Lesson37 什么是卷积-1.mp4
- 62.76 MB
P51 Lesson37 什么是卷积-2.mp4
- 39.6 MB
P52 Lesson38 卷积神经网络-1.mp4
- 41.36 MB
P53 Lesson38 卷积神经网络-2.mp4
- 62.89 MB
P54 Lesson38 卷积神经网络-3.mp4
- 35.46 MB
P55 Lesson39 Down sample, up sample.mp4
- 34.05 MB
P56 Lesson40 Batch Norm-1.mp4
- 41.45 MB
P57 Lesson40 Batch Norm-2.mp4
- 51.27 MB
P58 Lesson41 经典卷积网络-1.mp4
- 49.28 MB
P59 Lesson41 经典卷积网络-2.mp4
- 40.38 MB
P60 Lesson42 深度残差网络-1.mp4
- 53.18 MB
P61 Lesson42 深度残差网络-2.mp4
- 43.56 MB
P62 Lesson43 nn.Module-1.mp4
- 44.98 MB
P63 Lesson43 nn.Module-2.mp4
- 31.43 MB
P64 Lesson44 数据增强.mp4
- 46.85 MB
P65 Lesson46 时间序列表示.mp4
- 53.55 MB
P66 Lesson47 循环神经网络-1.mp4
- 28.41 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
P69 Lesson48 RNN Layer使用-2.mp4
- 29.91 MB
P70 Lesson49 时间序列预测.mp4
- 53.3 MB
P71 Lesson50 RNN训练难题.mp4
- 55 MB
P72 Lesson51 LSTM-1.mp4
- 32.97 MB
P73 Lesson51 LSTM-2.mp4
- 45.7 MB
P74 Lesson52 LSTM使用.mp4
- 28.45 MB
P75 Lesson53 情感分类实战.mp4
- 68.58 MB
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InfoHash:
F60CCA8F091866C1F6F35460882285386719588B
Last updated:
Jan 25, 2022
File count:
75 B
File Category:
1
Tags:
pytorch
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