chyelang Goto Github PK
Type: User
Company: AutoX
Bio: Perception Algorithm Engineer for Autonomous Driving
Type: User
Company: AutoX
Bio: Perception Algorithm Engineer for Autonomous Driving
MegEngine Official Documentation
利用TensorFlow(TF),本作业实现了一个基于full convolution stack、inception v2 module等模块的图片分类网络,纵向共包含10层包含参数的层,采用自己搭建的卷积层。对于dset1与dset2采用同样的网络结构,分别进行训练。最终在dset1验证集(约含900张图,下同)上的Top1分类准确率约为0.52,在dset2验证集上的Top1准确率约为0.63。在K80显卡的单核上,该模型的训练速度约为205张图每秒,最终所得模型的checkpoint约为45MB。
利用 PyTorch,本作业实现了一个基于word embedding和GRU的语言模型(Language Model,以下简称LM)。其包括一个encoder层、一个GRU层和一个decoder层,embedding维度与GRU的hidden state维度均为1500,采用了自己搭建的带有Layer Normalization(LN)的GRU模块,运用了dropout、学习初始状态、锁定encoder与decoder参数、梯度裁剪等技巧来提升模型性能,最终在测试集上模型的perplexity (PP)值为89.52,所得模型大小约为108M。
MegEngine 是一个快速、可拓展、易于使用且支持自动求导的数值计算框架
采用MegEngine实现的各种主流深度学习模型
This repo was forked from https://github.com/huoyijie/AdvancedEAST and improved by chyelang for DL class at Tsinghua. ModifiedEast is an algorithm used for Scene image text detect, which is primarily based on EAST.
TensorFlow (Python API) implementation of Neural Style
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