AI-贪心科技-首席AI架构师 分布式高性能深度学习实战培养计划

第01周 开班典礼 [216.36M]

开班典礼1.mp4 [70.31M]

开班典礼2.mp4 [72.21M]

开班典礼3.mp4 [73.84M]

第02周 基础理论及课程介绍 [1.40G]

lecture1.mp4 [193.07M]

lecture2.mp4 [153.55M]

review1.mp4 [72.21M]

review2.mp4 [553.61M]

review3.mp4 [461.53M]

第03周 并行及分布式框架概述 [1.25G]

01.框架概述 [783.45M]

并行及分布式框架概述1.mp4 [202.95M]

并行及分布式框架概述2.mp4 [126.04M]

并行及分布式框架概述3.mp4 [202.55M]

并行及分布式框架概述4.mp4 [199.70M]

并行及分布式框架概述5.mp4 [52.21M]

02.代码实战 [319.14M]

代码实战课程1.mp4 [80.42M]

代码实战课程2.mp4 [102.53M]

代码实战课程3.mp4 [136.19M]

03.阅读paper [172.58M]

如何阅读paper1.mp4 [114.80M]

如何阅读paper2.mp4 [57.78M]

第04周 环境安装与gitlab的使用 [532.53M]

01.环境安装与gitlab的使用 [138.09M]

环境安装与gitlab的使用1.mp4 [75.96M]

环境安装与gitlab的使用2.mp4 [62.13M]

02.经典并行模式 [228.41M]

经典并行模式1.mp4 [130.00M]

经典并行模式2.mp4 [98.41M]

03.speaker-aware talking-head animation [166.03M]

speakerawaretalkingheadanimation1.mp4 [105.57M]

speakerawaretalkingheadanimation2.mp4 [60.46M]

第05周 卷积结构及其计算 [1.20G]

01.卷积结构及其计算 [735.37M]

卷积结构及其计算1.mp4 [237.97M]

卷积结构及其计算2.mp4 [152.39M]

卷积结构及其计算3.mp4 [197.29M]

卷积结构及其计算4.mp4 [147.72M]

02.efficient winograd convolution via integer arithmetic [145.26M]

efficientwinogradconvolutionviaintegerarithmetic1.mp4 [39.57M]

efficientwinogradconvolutionviaintegerarithmetic2.mp4 [105.70M]

03.前后向算法 [353.12M]

前后向算法1.mp4 [123.71M]

前后向算法2.mp4 [229.41M]

第06周 目标检测算法 [1.22G]

01.目标检测算法 [1.12G]

目标检测算法1.mp4 [279.75M]

目标检测算法2.mp4 [296.25M]

目标检测算法3.mp4 [209.66M]

目标检测算法4.mp4 [140.39M]

目标检测算法5.mp4 [217.01M]

02.distilling the knowledge in a neural network [102.86M]

distillingtheknowledgeinaneuralnetwork.mp4 [102.86M]

第07周 lecture1 nvidiatensort核心算法和plugin开发 [645.69M]

lecture1nvidiatensort核心算法和plugin开发 [529.37M]

nvidiatensort核心算法和plugin开发-01.mp4 [82.74M]

nvidiatensort核心算法和plugin开发2.mp4 [200.50M]

nvidiatensort核心算法和plugin开发3.mp4 [120.40M]

nvidiatensort核心算法和plugin开发4.mp4 [125.73M]

paperdistillingheknowledgeinaneuralnetwork [116.32M]

paper distilling the knowledge in a neural network.mp4 [116.32M]

第08周 tensort详讲 真实环境下的代码操作 [1.61G]

dynamicetworksurgeryorefficientdnns [95.65M]

dynamicnetworksurgeryforefficientdnns.mp4 [95.65M]

lecturetensort详讲真实环境下的代码操作 [986.27M]

tensort详讲真实环境下的代码操作1.mp4 [210.15M]

tensort详讲真实环境下的代码操作2.mp4 [269.93M]

tensort详讲真实环境下的代码操作3.mp4 [217.69M]

tensort详讲真实环境下的代码操作4.mp4 [288.49M]

tensorrtpluginnmsplugin这个plugin插件的具体 [568.81M]

插件的具体代码实现1.mp4 [230.12M]

插件的具体代码实现2.mp4 [107.04M]

插件的具体代码实现3.mp4 [231.65M]

第09周 个性化语音合成项目技术概览 [661.92M]

improving neural network quantization without retraining using [135.57M]

improvingneuralnetworkquantization.mp4 [135.57M]

lecture 个性化语音合成项目技术概览 [329.64M]

个性化语音合成项目技术概览1.mp4 [124.58M]

个性化语音合成项目技术概览2.mp4 [80.55M]

个性化语音合成项目技术概览3.mp4 [124.51M]

tensorrt ssd 推理 [196.70M]

tensorrtssd推理1.mp4 [63.07M]

tensorrtssd推理2.mp4 [133.63M]

第10周 计算图表示及优化 [487.31M]

workshopdata-free knowledge distillation for deep neural networks [80.75M]

datafreeknowledgedistillationfordeepneuralnetworks.mp4 [80.75M]

计算图表示及优化 [406.55M]

计算图表示及优化1.mp4 [38.16M]

计算图表示及优化2.mp4 [92.30M]

计算图表示及优化3.mp4 [164.69M]

计算图表示及优化4.mp4 [111.40M]

第11周 attention-based seq2seq模型tacotron2-lecture [957.08M]

1-lecture attention-based seq2seq模型tacotron2 [565.58M]

attentionbasedseq2seq模型tacotron21.mp4 [120.75M]

attentionbasedseq2seq模型tacotron22.mp4 [210.96M]

attentionbasedseq2seq模型tacotron23.mp4 [115.59M]

attentionbasedseq2seq模型tacotron240.mp4 [118.27M]

2-workshop 说话人特征提取技术实现及环境搭建 [167.09M]

说话人特征提取技术实现及环境搭建1.mp4 [65.78M]

说话人特征提取技术实现及环境搭建2.mp4 [101.31M]

3-workshop rethinking the smaller [170.33M]

rethinkingthesmaller1.mp4 [69.07M]

rethinkingthesmaller2.mp4 [101.27M]

4-workshop 代码练习 [54.08M]

代码练习1.mp4 [54.08M]

第12周 声码器wave序列生成算法实战-lecture [1.15G]

payingmoreattentiontoattentionimprovingtheperformance.mp4 [108.82M]

tacotron2合成模型实现1.mp4 [67.94M]

tacotron2合成模型实现2.mp4 [263.98M]

声码器wave序列生成算法实战1.mp4 [145.56M]

声码器wave序列生成算法实战2.mp4 [200.38M]

声码器wave序列生成算法实战3.mp4 [182.12M]

声码器wave序列生成算法实战4.mp4 [211.22M]

第13周 tensorrt实战 [1.28G]

performanceguaranteednetworkaccelerationviahighorderresidualquantization.mp4 [76.51M]

tensorrt实战1.mp4 [191.30M]

tensorrt实战2.mp4 [254.85M]

tensorrt实战3.mp4 [151.33M]

tensorrt实战4.mp4 [328.96M]

tensorrt实战5.mp4 [306.63M]

第14周 推荐系统概览 [1.32G]

simpleresourceconstrainedstructurelearningofdeepnetworks.mp4 [129.02M]

常用attention的实现1.mp4 [45.81M]

常用attention的实现2.mp4 [169.20M]

推荐系统概览1.mp4 [178.44M]

推荐系统概览2.mp4 [133.73M]

推荐系统概览3.mp4 [213.93M]

推荐系统概览4.mp4 [248.53M]

作业讲解1.mp4 [53.25M]

作业讲解2.mp4 [174.90M]

第15周 分布式参数服务器 [943.62M]

horovodfastandeasydistributeddeeplearningintensorflow.mp4 [86.91M]

horovodtensorflow应用1.mp4 [51.37M]

horovodtensorflow应用2.mp4 [151.91M]

分布式参数服务器1.mp4 [148.62M]

分布式参数服务器2.mp4 [144.48M]

分布式参数服务器3.mp4 [191.60M]

分布式参数服务器4.mp4 [168.73M]

第16周 分布式推荐系统实战 [1.52G]

difacto中sgd算法的实现1.mp4 [118.58M]

difacto中sgd算法的实现2.mp4 [83.10M]

distributedtrainingstrategiesforthestructuredperceptron.mp4 [147.34M]

mixed precision training.mp4 [75.66M]

分布式推荐系统实战1.mp4 [108.52M]

分布式推荐系统实战2.mp4 [97.71M]

分布式推荐系统实战3.mp4 [119.08M]

分布式推荐系统实战4.mp4 [74.30M]

分布式推荐系统实战5.mp4 [157.48M]

深度学习框架技术-1.mp4 [174.41M]

深度学习框架技术-2.mp4 [180.82M]

深度学习框架技术-3.mp4 [114.44M]

深度学习框架技术-4.mp4 [108.61M]

第17周 训练加速高级技术1 [1.03G]

local sgd converges fast and communicates little.mp4 [125.55M]

tnn高效存储管理机制-1.mp4 [111.50M]

tnn高效存储管理机制-2.mp4 [130.82M]

训练及预测加速高级技术-1.mp4 [48.01M]

训练及预测加速高级技术-2.mp4 [110.49M]

训练及预测加速高级技术-3.mp4 [81.06M]

训练及预测加速高级技术-4.mp4 [130.31M]

训练及预测加速高级技术-5.mp4 [76.80M]

训练及预测加速高级技术-6.mp4 [236.74M]

第18周 训练及预测加速高级技术 [864.44M]

模型压缩技术实现-1.mp4 [68.00M]

模型压缩技术实现-2.mp4 [112.14M]

训练加速高级技术1-1.mp4 [82.47M]

训练加速高级技术1-2.mp4 [70.43M]

训练加速高级技术1-3.mp4 [120.05M]

训练加速高级技术1-4.mp4 [104.96M]

训练加速高级技术1-5.mp4 [166.27M]

训练加速高级技术1-6.mp4 [140.12M]

第19周 最后一课 [206.88M]

fast locality sensitive hashing for beam search on gpu.mp4 [102.21M]

最后一课-1.mp4 [47.53M]

最后一课-2.mp4 [57.14M]