深度与pytorch入门实战教程(价值399元)视频曼_深度学习与pytorch入门实战教程(价值399元)
1 文件名称： 深度与pytorch入门实战教程（价值399元）视频曼_共：3.67gb 文件总数量： 88条 压缩文件数量： 0条 压缩文件比： 0% 疑似加密文件： 0条(需要授权播放的文件) 文件创建时间： 2021-4-19 17:07:14
目录：【深度学习与pytorch入门实战教程（价值399元）】目录：【深度学习与pytorch入门实战教程（价值399元）】zfdev_tree模型下载 [6.11kb]目录：【深度学习与pytorch入门实战教程（价值399元）/9.过拟合】49.lesson35-earlystopping [51.22mb]48.lesson34-动量与lr衰减.mp4 [51.46mb]47.lesson33-regularization.mp4 [39.04mb]46.lesson32-train-val-test-交叉验证-2.mp4 [32.31mb]45.lesson32-train-val-test-交叉验证-1.mp4 [45.94mb]44.lesson31-过拟合与欠拟合.mp4 [42.47mb]目录：【深度学习与pytorch入门实战教程（价值399元）/8.多层感知机与分类器】43.lesson30-visdom可视化_.mp4 [52.76mb]42.lesson29测试.mp4 [53.80mb]41.lesson28激活函数与gpu加速.mp4 [39.58mb]40.lesson27全连接层.mp4 [52.12mb]39.lesson26多分类实战.mp4 [34.99mb]38.lesson25交叉熵.mp4 [72.76mb]37.lesson24logisticregression.mp4 [47.83mb]目录：【深度学习与pytorch入门实战教程（价值399元）/7.感知机梯度传播推导】36.lesson22优化小实例_.mp4 [39.18mb]35.lesson21反向传播.mp4 [82.00mb]34.lesson20链式法则.mp4 [39.94mb]33.lesson19多输出loss层2.mp4 [49.69mb]32.lesson19单一输出感知机1.mp4 [47.44mb]目录：【深度学习与pytorch入门实战教程（价值399元）/6.随机梯度下降】31.lesson18激活函数及其梯度3.mp4 [65.33mb]30.lesson18激活函数及其梯度2_.mp4 [44.37mb]29.lesson18激活函数及其梯度1.mp4 [45.53mb]28.lesson17常见梯度.mp4 [18.37mb]27.lesson16什么是梯度2.mp4 [43.30mb]26.lesson16什么是梯度1.mp4 [69.17mb]目录：【深度学习与pytorch入门实战教程（价值399元）/5.张量高阶操作】25.lesson14高阶op.mp4 [61.86mb]24.lesson13数据统计2_.mp4 [54.70mb]23.lesson13数据统计1_.mp4 [39.94mb]22.lesson12基本运算.mp4 [67.11mb]21.lesson11合并与切割2.mp4 [30.81mb]20.lesson11合并与切割1.mp4 [46.78mb]19.lesson10broatcasting2.mp4 [46.18mb]18.lesson10broatcasting1.mp4 [57.85mb]目录：【深度学习与pytorch入门实战教程（价值399元）/4.pytorch张量操作】9.lesson6基本数据类型2.mp4 [28.20mb]8.lesson6基本数据类型1.mp4 [54.35mb]17.lesson9维度变换4.mp4 [40.79mb]16.lesson9维度变换3_.mp4 [40.75mb]15.lesson9维度变换2_.mp4 [40.69mb]14.lesson9维度变换1.mp4 [33.07mb]13.lesson8索引与切片2.mp4 [45.41mb]12.lesson8索引与切片1.mp4 [47.23mb]11.lesson7创建tensor2.mp4 [44.27mb]10.lesson7创建tensor1.mp4 [51.58mb]目录：【深度学习与pytorch入门实战教程（价值399元）/3.初见深度学习】7.lesson5-手写数字问题引入2.mp4 [21.03mb]6.lesson5-手写数字问题引入1.mp4 [36.73mb]5.lesson4-pytorch求解linearregression案例_.mp4 [35.71mb]4.lesson3-初探linearregression案例-2.mp4 [43.14mb]3.lesson3-初探linearregression案例-1.mp4 [71.93mb]目录：【深度学习与pytorch入门实战教程（价值399元）/2.开发环境准备】2.lesson2-开发环境准备.mp4 [54.47mb]目录：【深度学习与pytorch入门实战教程（价值399元）/13.对抗生成网络gan】87.lesson65-wgan-gp实战.mp4 [36.27mb]86.lesson64-gan训练不稳定.mp4 [20.20mb]85.lesson63-gan实战_.mp4 [33.29mb]84.lesson62-g和d实现.mp4 [17.28mb]83.lesson61-wgan与wgan-gp.mp4 [28.83mb]82.lesson60-em距离.mp4 [17.15mb]81.lesson59-js散度的弊端.mp4 [36.80mb]80.lesson58-纳什均衡-g.mp4 [36.64mb]79.lesson57-纳什均衡-d.mp4 [20.42mb]78.lesson56-gan发展.mp4 [23.02mb]77.lesson55-画家的成长历程_.mp4 [28.85mb]76.lesson54-数据分布.mp4 [17.43mb]目录：【深度学习与pytorch入门实战教程（价值399元）/12.循环神经网络rnnlstm】75.lesson53-情感分类实战.mp4 [68.58mb]74.lesson52-lstmlayer使用_.mp4 [28.44mb]73.lesson51-lstm原理-2.mp4 [45.70mb]72.lesson51-lstm原理-1.mp4 [32.97mb]71.lesson50-rnn训练难题.mp4 [54.99mb]70.lesson49-时间序列预测_.mp4 [53.30mb]69.lesson48-rnnlayer使用-2.mp4 [29.91mb]68.lesson48-rnnlayer使用-1.mp4 [34.22mb]67.lesson47-rnn原理-2.mp4 [34.93mb]66.lesson47-rnn原理-1.mp4 [28.40mb]65.lesson46-时间序列表示.mp4 [53.54mb]目录：【深度学习与pytorch入门实战教程（价值399元）/10.卷积神经网络cnn】64.lesson44-数据增强dataargumentation.mp4 [46.84mb]63.lesson43-nn.module-2.mp4 [31.42mb]62.lesson43-nn.module-1.mp4 [44.97mb]61.lesson42-resnet [43.56mb]60.lesson42-resnet.densenet-1.mp4 [53.18mb]59.lesson41-lenet5 [40.37mb]58.lesson41-lenet5 [49.28mb]57.lesson40-batchnorm-2.mp4 [51.27mb]56.lesson40-batchnorm-1.mp4 [41.44mb]55.lesson39-poolingupsample.mp4 [34.05mb]54.lesson38-卷积神经网络-3.mp4 [35.46mb]53.lesson38-卷积神经网络-2_.mp4 [62.89mb]52.lesson38-卷积神经网络-1.mp4 [41.36mb]51.lesson37-什么是卷积-2_.mp4 [39.60mb]50.lesson37-什么是卷积-1.mp4 [62.75mb]目录：【深度学习与pytorch入门实战教程（价值399元）/1.深度学习框架介绍】1.lesson1-pytorch介绍.mp4 [48.66mb]
