tensor_flow 源码
项目概况 In this project, we use data from the [Waymo Open dataset](https://waymo.com/open/) in order to create a convolutional neural network to detect and classify objects. This is done by following steps such as data acquisition and processing, Exploratory data analysis(EDA) , cross validation, Data augmentation and creation of animations. 指示 要求 安装了最新驱动程序的NVIDIA GPU 码头工人/ nvidia码头工人 建造 使用以下方法生成图
文件列表
tensor_flow-main.zip
(预估有个26文件)
tensor_flow-main
Explore augmentations.ipynb
4KB
training
pretrained-models
ssd_resnet50_v1_fpn_640x640_coco17_tpu-8
pipeline.config
4KB
reference
pipeline_new.config
4KB
.gitignore
23B
README.md
5KB
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