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
│&nBSp;&nBSp;├┈开班典礼1.mp4
│&nBSp;&nBSp;├┈开班典礼2.mp4
│&nBSp;&nBSp;└┈开班典礼3.mp4
├─第02周 基础理论及课程介绍
│&nBSp;&nBSp;├┈lecture1.mp4
│&nBSp;&nBSp;├┈lecture2.mp4
│&nBSp;&nBSp;├┈review1.mp4
│&nBSp;&nBSp;├┈review2.mp4
│&nBSp;&nBSp;└┈review3.mp4
├─第03周 并行及分布式框架概述
│&nBSp;&nBSp;├─01.框架概述
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈并行及分布式框架概述1.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈并行及分布式框架概述2.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈并行及分布式框架概述3.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈并行及分布式框架概述4.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;└┈并行及分布式框架概述5.mp4
│&nBSp;&nBSp;├─02.代码实战
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈代码实战课程1.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈代码实战课程2.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;└┈代码实战课程3.mp4
│&nBSp;&nBSp;└─03.阅读paper
│&nBSp;&nBSp;└─├┈如何阅读PapeR1.mp4
│&nBSp;&nBSp;└─└┈如何阅读Paper2.mp4
├─第04周 环境安装与gitlab的使用
│&nBSp;&nBSp;├─01.环境安装与gitlab的使用
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈环境安装与gitlab的使用1.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;└┈环境安装与gitlab的使用2.mp4
│&nBSp;&nBSp;├─02.经典并行模式
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈经典并行模式1.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;└┈经典并行模式2.mp4
│&nBSp;&nBSp;└─03.Speaker-Aware Talking-HeAD AnIMation
│&nBSp;&nBSp;└─├┈SpeakerAwareTalkingHeADAnIMation1.mp4
│&nBSp;&nBSp;└─└┈SpeakerAwareTalkingHeADAnIMation2.mp4
├─第05周 卷积结构及其计算
│&nBSp;&nBSp;├─01.卷积结构及其计算
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈卷积结构及其计算1.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈卷积结构及其计算2.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈卷积结构及其计算3.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;└┈卷积结构及其计算4.mp4
│&nBSp;&nBSp;├─02.EFFICIENT WINOGRAD CONVOLUTION VIA INTEGER ARITHMETIC
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈EFFICIENTWINOGRADCONVOLUTIONVIAINTEGERARITHMETIC1.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;└┈EFFICIENTWINOGRADCONVOLUTIONVIAINTEGERARITHMETIC2.mp4
│&nBSp;&nBSp;└─03.前后向算法
│&nBSp;&nBSp;└─├┈前后向算法1.mp4
│&nBSp;&nBSp;└─└┈前后向算法2.mp4
├─第06周 目标检测算法
│&nBSp;&nBSp;├─01.目标检测算法
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈目标检测算法1.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈目标检测算法2.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈目标检测算法3.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈目标检测算法4.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;└┈目标检测算法5.mp4
│&nBSp;&nBSp;└─02.Distilling the Knowledge in a Neural Network
│&nBSp;&nBSp;└─└┈DistillinGTheKnowledgeinaNeuralNetwork.mp4
├─第07周 Lecture1 NvidiaTensort核心算法和Plugin开发
│&nBSp;&nBSp;├─Lecture1NvidiaTensort核心算法和Plugin开发
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈NvidiaTensort核心算法和Plugin开发-01.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈NvidiaTensort核心算法和Plugin开发2.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈NvidiaTensort核心算法和Plugin开发3.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;└┈NvidiaTensort核心算法和Plugin开发4.mp4
│&nBSp;&nBSp;└─PaperDistillingheKnowledgeinaNeuralNetwork
│&nBSp;&nBSp;└─└┈Paper Distilling the Knowledge in a Neural Network.mp4
├─第08周 TensoRT详讲 真实环境下的代码操作
│&nBSp;&nBSp;├─DYnAMicetworkSurgeryorEfficientDNNs
│&nBSp;&nBSp;│&nBSp;&nBSp;└┈DYnAMicNetworkSurgeryforEfficientDNNs.mp4
│&nBSp;&nBSp;├─LectureTensoRT详讲真实环境下的代码操作
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈TensoRT详讲真实环境下的代码操作1.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈TensoRT详讲真实环境下的代码操作2.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈TensoRT详讲真实环境下的代码操作3.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;└┈TensoRT详讲真实环境下的代码操作4.mp4
│&nBSp;&nBSp;└─TensorRTpluginnmsPlugin这个plugin插件的具体
│&nBSp;&nBSp;└─├┈插件的具体代码实现1.mp4
│&nBSp;&nBSp;└─├┈插件的具体代码实现2.mp4
│&nBSp;&nBSp;└─└┈插件的具体代码实现3.mp4
├─第09周 个性化语音合成项目技术概览
│&nBSp;&nBSp;├─IMProving Neural Network Quantization without RetrAIning using
│&nBSp;&nBSp;│&nBSp;&nBSp;└┈IMProvingNeuralNetworkQuantization.mp4
│&nBSp;&nBSp;├─Lecture 个性化语音合成项目技术概览
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈个性化语音合成项目技术概览1.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈个性化语音合成项目技术概览2.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;└┈个性化语音合成项目技术概览3.mp4
│&nBSp;&nBSp;└─TensorRT SSD 推理
│&nBSp;&nBSp;└─├┈TensorRTSSD推理1.mp4
│&nBSp;&nBSp;└─└┈TensorRTSSD推理2.mp4
├─第10周 计算图表示及优化
│&nBSp;&nBSp;├─WorkshOPData-Free Knowledge Distillation for Deep Neural Networks
│&nBSp;&nBSp;│&nBSp;&nBSp;└┈DataFreeKnowledgeDistillationforDeepNeuralNetworks.mp4
│&nBSp;&nBSp;└─计算图表示及优化
│&nBSp;&nBSp;└─├┈计算图表示及优化1.mp4
│&nBSp;&nBSp;└─├┈计算图表示及优化2.mp4
│&nBSp;&nBSp;└─├┈计算图表示及优化3.mp4
│&nBSp;&nBSp;└─└┈计算图表示及优化4.mp4
├─第11周 Attention-Based Seq2Seq模型Tacotron2-Lecture
│&nBSp;&nBSp;├─1-Lecture Attention-Based Seq2Seq模型Tacotron2
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈AttentionBasedSeq2Seq模型Tacotron21.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈AttentionBasedSeq2Seq模型Tacotron22.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈AttentionBasedSeq2Seq模型Tacotron23.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;└┈AttentionBasedSeq2Seq模型Tacotron240.mp4
│&nBSp;&nBSp;├─2-Workshop 说话人特征提取技术实现及环境搭建
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈说话人特征提取技术实现及环境搭建1.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;└┈说话人特征提取技术实现及环境搭建2.mp4
│&nBSp;&nBSp;├─3-Workshop Rethinking the smaller
│&nBSp;&nBSp;│&nBSp;&nBSp;├┈RethinkinGThesmalleR1.mp4
│&nBSp;&nBSp;│&nBSp;&nBSp;└┈RethinkinGThesmaller2.mp4
│&nBSp;&nBSp;└─4-Workshop 代码练习
│&nBSp;&nBSp;└─└┈代码练习1.mp4
├─第12周 声码器Wave序列生成算法实战-Lecture
│&nBSp;&nBSp;├┈PAYINGMOREATTENTIONTOATTENTIONIMPrOVINGTHEPERFORMANCE.mp4
│&nBSp;&nBSp;├┈Tacotron2合成模型实现1.mp4
│&nBSp;&nBSp;├┈Tacotron2合成模型实现2.mp4
│&nBSp;&nBSp;├┈声码器Wave序列生成算法实战1.mp4
│&nBSp;&nBSp;├┈声码器Wave序列生成算法实战2.mp4
│&nBSp;&nBSp;├┈声码器Wave序列生成算法实战3.mp4
│&nBSp;&nBSp;└┈声码器Wave序列生成算法实战4.mp4
├─第13周 tensorrt实战
│&nBSp;&nBSp;├┈PerformanceGuaranteedNetworkAccelerationviaHighOrderResidualQuantization.mp4
│&nBSp;&nBSp;├┈tensorrt实战1.mp4
│&nBSp;&nBSp;├┈tensorrt实战2.mp4
│&nBSp;&nBSp;├┈tensorrt实战3.mp4
│&nBSp;&nBSp;├┈tensorrt实战4.mp4
│&nBSp;&nBSp;└┈tensorrt实战5.mp4
├─第14周 推荐系统概览
│&nBSp;&nBSp;├┈SIMpleResourceConstrAInedStructureLearninGofDeepNetworks.mp4
│&nBSp;&nBSp;├┈常用Attention的实现1.mp4
│&nBSp;&nBSp;├┈常用Attention的实现2.mp4
│&nBSp;&nBSp;├┈推荐系统概览1.mp4
│&nBSp;&nBSp;├┈推荐系统概览2.mp4
│&nBSp;&nBSp;├┈推荐系统概览3.mp4
│&nBSp;&nBSp;├┈推荐系统概览4.mp4
│&nBSp;&nBSp;├┈作业讲解1.mp4
│&nBSp;&nBSp;└┈作业讲解2.mp4
├─第15周 分布式参数服务器
│&nBSp;&nBSp;├┈HorovodfastandeasydistributedDeeplearninginTensorFlow.mp4
│&nBSp;&nBSp;├┈Horovodtensorflow应用1.mp4
│&nBSp;&nBSp;├┈Horovodtensorflow应用2.mp4
│&nBSp;&nBSp;├┈分布式参数服务器1.mp4
│&nBSp;&nBSp;├┈分布式参数服务器2.mp4
│&nBSp;&nBSp;├┈分布式参数服务器3.mp4
│&nBSp;&nBSp;└┈分布式参数服务器4.mp4
├─第16周 分布式推荐系统实战
│&nBSp;&nBSp;├┈Difacto中SGD算法的实现1.mp4
│&nBSp;&nBSp;├┈Difacto中SGD算法的实现2.mp4
│&nBSp;&nBSp;├┈DistributedTrAIningStrategiesfortheStructuredPerceptron.mp4
│&nBSp;&nBSp;├┈Mixed Precision TrAIning.mp4
│&nBSp;&nBSp;├┈分布式推荐系统实战1.mp4
│&nBSp;&nBSp;├┈分布式推荐系统实战2.mp4
│&nBSp;&nBSp;├┈分布式推荐系统实战3.mp4
│&nBSp;&nBSp;├┈分布式推荐系统实战4.mp4
│&nBSp;&nBSp;├┈分布式推荐系统实战5.mp4
│&nBSp;&nBSp;├┈深度学习框架技术-1.mp4
│&nBSp;&nBSp;├┈深度学习框架技术-2.mp4
│&nBSp;&nBSp;├┈深度学习框架技术-3.mp4
│&nBSp;&nBSp;└┈深度学习框架技术-4.mp4
├─第17周 训练加速高级技术1
│&nBSp;&nBSp;├┈Local SGD Converges Fast and Communicates Little.mp4
│&nBSp;&nBSp;├┈TNN高效存储管理机制-1.mp4
│&nBSp;&nBSp;├┈TNN高效存储管理机制-2.mp4
│&nBSp;&nBSp;├┈训练及预测加速高级技术-1.mp4
│&nBSp;&nBSp;├┈训练及预测加速高级技术-2.mp4
│&nBSp;&nBSp;├┈训练及预测加速高级技术-3.mp4
│&nBSp;&nBSp;├┈训练及预测加速高级技术-4.mp4
│&nBSp;&nBSp;├┈训练及预测加速高级技术-5.mp4
│&nBSp;&nBSp;└┈训练及预测加速高级技术-6.mp4
├─第18周 训练及预测加速高级技术
│&nBSp;&nBSp;├┈模型压缩技术实现-1.mp4
│&nBSp;&nBSp;├┈模型压缩技术实现-2.mp4
│&nBSp;&nBSp;├┈训练加速高级技术1-1.mp4
│&nBSp;&nBSp;├┈训练加速高级技术1-2.mp4
│&nBSp;&nBSp;├┈训练加速高级技术1-3.mp4
│&nBSp;&nBSp;├┈训练加速高级技术1-4.mp4
│&nBSp;&nBSp;├┈训练加速高级技术1-5.mp4
│&nBSp;&nBSp;└┈训练加速高级技术1-6.mp4
└─第19周 最后一课
└─├┈Fast Locality Sensitive Hashing for BeAM Search on GPU.mp4
└─├┈最后一课-1.mp4
└─└┈最后一课-2.mp4

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