file:深度学习与Pytorch-PPT和代码.rar file:花书-中文版.pdf file:花书-深度学习-Eng.pdf file:75.数据增强.vep file:74.nn.Module模块-2.vep file:72.ResNet与DenseNet-2.vep file:70.经典卷积网络.LeNet5,AlexNet,.VGG,.GoogLeNet-2.vep file:68.BatchNorm-2.vep file:66.池化层与采样.vep file:65.卷积神经网络-3.vep file:60.Early.stopping,.dropout等.vep file:59.动量与学习率衰减.vep file:58.Regularization.vep file:57.交叉验证-2.vep file:55.过拟合与欠拟合.vep file:54.Visdom可视化.vep file:53.MNIST测试实战.vep file:52.激活函数与GPU加速.vep file:47.Logistic.Regression.vep file:45.反向传播算法-2.vep file:42.感知机的梯度推导-2.vep file:40.激活函数与Loss的梯度-4.vep file:36.常见函数的梯度.vep file:26.Broadcasting-3.vep file:18.索引与切片-1.vep file:16.创建Tensor-1.vep

file:深度学习与Pytorch-PPT和代码.rar file:花书-中文版.pdf file:花书-深度学习-Eng.pdf file:75.数据增强.vep file:74.nn.Module模块-2.vep file:72.ResNet与DenseNet-2.vep file:70.经典卷积网络.LeNet5,AlexNet,.VGG,.GoogLeNet-2.vep file:68.BatchNorm-2.vep file:66.池化层与采样.vep file:65.卷积神经网络-3.vep file:60.Early.stopping,.dropout等.vep file:59.动量与学习率衰减.vep file:58.Regularization.vep file:57.交叉验证-2.vep file:55.过拟合与欠拟合.vep file:54.Visdom可视化.vep file:53.MNIST测试实战.vep file:52.激活函数与GPU加速.vep file:47.Logistic.Regression.vep file:45.反向传播算法-2.vep file:42.感知机的梯度推导-2.vep file:40.激活函数与Loss的梯度-4.vep file:36.常见函数的梯度.vep file:26.Broadcasting-3.vep file:18.索引与切片-1.vep file:16.创建Tensor-1.vep