This is about projec with new technology by tensorflow
Home Page: https://www.zhihu.com/people/TuringEmmy
License: MIT License
This is about projec with new technology by tensorflow
分类问题、回归问题、损失函数、神经网络、激活函数、dropout、批归一化、深度神经网络、Wide&Deep模型、密集特征、稀疏特征、超参数搜索等
tensorflow数据类型、自定义模型和损失函数、自定义求导、tf.function、图结构等
dataset API主要用于读取数据
estimator是和keras平级的用于模型抽象的高级API
卷积神经网络，包括卷积、池化、卷积网络、数据增强、迁移学习
序列式问题、循环神经网络、LSTM、双向LSTM等模型进行了详细的实战
分布式原理和策略
参数服务器的分布式的并行架构
when I use Tensorflow 2.*, I found it completely starting to surpass torch.Without the tediousness of Session, I can quickly build my own model and any ideas I want to write
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