英伟达开发者社区免费课程NVIDIA GPU.rar

[{"title":"（ 33 个子文件 73.7MB ） 英伟达开发者社区免费课程NVIDIA GPU.rar","children":[{"title":"英伟达开发者社区免费课程NVIDIA GPU","children":[{"title":"5、GPU人工智能服务器的搭建.pdf <span style='color:#111;'> 3.23MB </span>","children":null,"spread":false},{"title":"25、NVIDIA DeepStream 三十分钟实现基于 Python 的路况目标跟踪系统.pdf <span style='color:#111;'> 2.03MB </span>","children":null,"spread":false},{"title":"27、三十分钟实现基于 Python 的路况多模型推理系统.pdf <span style='color:#111;'> 2.19MB </span>","children":null,"spread":false},{"title":"02、CUDA-python系列课程-并行计算基础 ---矩阵计算以及共享内存.pdf <span style='color:#111;'> 2.21MB </span>","children":null,"spread":false},{"title":"11、tensorrt in mev.pdf <span style='color:#111;'> 1.29MB </span>","children":null,"spread":false},{"title":"4、cuda并行计算基础 ---多流执行.pdf <span style='color:#111;'> 1.67MB </span>","children":null,"spread":false},{"title":"01、基于Python的口罩检测模块代码解析.pdf <span style='color:#111;'> 2.17MB </span>","children":null,"spread":false},{"title":"1、cuda并行计算基础 ---基础知识.pdf <span style='color:#111;'> 3.66MB </span>","children":null,"spread":false},{"title":"2、cuda并行计算基础 ---共享内存和常量内存.pdf <span style='color:#111;'> 1.77MB </span>","children":null,"spread":false},{"title":"20、搭载了第三代Tensor Core的A100如何实现吞吐性能翻倍.pdf <span style='color:#111;'> 9.06MB </span>","children":null,"spread":false},{"title":"26、CUDA 11编程新特性.pdf <span style='color:#111;'> 4.63MB </span>","children":null,"spread":false},{"title":"29、使用Nemo快速完成自动语音识别中的迁移学习任务20210407.pdf <span style='color:#111;'> 1.43MB </span>","children":null,"spread":false},{"title":"24、自动语音识别快速入门.pdf <span style='color:#111;'> 2.84MB </span>","children":null,"spread":false},{"title":"23、NVIDIA DeepStream三十分钟实现基于 Python 的路况目标检测系统.pdf <span style='color:#111;'> 2.18MB </span>","children":null,"spread":false},{"title":"6、NVIDIA 交互式 GPU 训练平台： DIGITS - 开源免费的深度学习管理工具.pdf <span style='color:#111;'> 3.50MB </span>","children":null,"spread":false},{"title":"13、styleGan.pdf <span style='color:#111;'> 1.49MB </span>","children":null,"spread":false},{"title":"19、20200721_MIG_on_FasterTransformer.pdf <span style='color:#111;'> 1.66MB </span>","children":null,"spread":false},{"title":"8、TensorRT_6.0_plugin.pdf <span style='color:#111;'> 4.05MB </span>","children":null,"spread":false},{"title":"3、cuda并行计算基础 ---cuBlas.pdf <span style='color:#111;'> 1.23MB </span>","children":null,"spread":false},{"title":"16、Transfer learning toolkit-presentation-20200227.pdf <span style='color:#111;'> 2.00MB </span>","children":null,"spread":false},{"title":"17、TLT-presentation-20200312.pdf <span style='color:#111;'> 2.07MB </span>","children":null,"spread":false},{"title":"21、基于 Python 的行人统计模块代码解析.pdf <span style='color:#111;'> 2.51MB </span>","children":null,"spread":false},{"title":"30、深度学习在自然语言处理领域的应用20210421.pdf <span style='color:#111;'> 4.18MB </span>","children":null,"spread":false},{"title":"7、TensorRT(2)--编程实战YOLO.pdf <span style='color:#111;'> 2.22MB </span>","children":null,"spread":false},{"title":"1、cuda并行计算基础 ---编程基础.pdf <span style='color:#111;'> 2.66MB </span>","children":null,"spread":false},{"title":"15、TensorRT_7-0_plugin.pdf <span style='color:#111;'> 3.67MB </span>","children":null,"spread":false},{"title":"9、人工智能课程：使用 TensorRT 加速推理结果计算 ,配合 Deepstream.pdf <span style='color:#111;'> 2.37MB </span>","children":null,"spread":false},{"title":"28、三十分钟实现基于 Python 的路况多模型推理系统.pdf <span style='color:#111;'> 2.19MB </span>","children":null,"spread":false},{"title":"10、TensorRT In Jetbot.pdf <span style='color:#111;'> 1.76MB </span>","children":null,"spread":false},{"title":"31、ASR 应用在边缘计算设备上的快速实现.pdf <span style='color:#111;'> 1.13MB </span>","children":null,"spread":false},{"title":"03、CUDA-python系列课程-并行计算基础 ---矩阵计算以及共享内存 (1).pdf <span style='color:#111;'> 2.21MB </span>","children":null,"spread":false},{"title":"22、基于 Python 的车辆检测应用代码解析.pdf <span style='color:#111;'> 2.70MB </span>","children":null,"spread":false},{"title":"12、TLT--2020.01.07.pdf <span style='color:#111;'> 2.46MB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]