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 |