中文版的Spring核心技术文档。 Spring Framework 开发参考手册 Rod Johnson Juergen Hoeller Alef Arendsen Colin Sampaleanu Rob Harrop Thomas Risberg Darren Davison Dmitriy Kopylenko Mark Pollack Thierry Templier Erwin Vervaet Portia Tung Ben Hale Adrian Colyer John Lewis
Spring Framework 开发参考手册 Rod Johnson Juergen Hoeller Alef Arendsen Colin Sampaleanu Rob Harrop Thomas Risberg Darren Davison Dmitriy Kopylenko Mark Pollack Thierry Templier Erwin Vervaet Portia Tung Ben Hale Adrian Colyer John Lewis Costin Leau Rick
Spring Framework 开发参考手册 Rod Johnson Juergen Hoeller Alef Arendsen Colin Sampaleanu Rob Harrop Thomas Risberg Darren Davison Dmitriy Kopylenko Mark Pollack Thierry Templier Erwin Vervaet Portia Tung Ben Hale Adrian Colyer John Lewis Costin Leau Rick
Spring Framework 开发参考手册 Rod Johnson Juergen Hoeller Alef Arendsen Colin Sampaleanu Rob Harrop Thomas Risberg Darren Davison Dmitriy Kopylenko Mark Pollack Thierry Templier Erwin Vervaet Portia Tung Ben Hale Adrian Colyer John Lewis Costin Leau Mark
Spring Framework 开发参考手册 Rod Johnson Juergen Hoeller Alef Arendsen Colin Sampaleanu Rob Harrop Thomas Risberg Darren Davison Dmitriy Kopylenko Mark Pollack Thierry Templier Erwin Vervaet Portia Tung Ben Hale Adrian Colyer John Lewis Costin Leau Mark
Spring Framework 开发参考手册 Rod Johnson Juergen Hoeller Alef Arendsen Colin Sampaleanu Rob Harrop Thomas Risberg Darren Davison Dmitriy Kopylenko Mark Pollack Thierry Templier Erwin Vervaet Portia Tung Ben Hale Adrian Colyer John Lewis Costin Leau Mark
Spring Framework Reference Documentation Authors Rod Johnson , Juergen Hoeller , Keith Donald , Colin Sampaleanu , Rob Harrop , Thomas Risberg , Alef Arendsen , Darren Davison , Dmitriy Kopylenko , Mark Pollack , Thierry Templier , Erwin Vervaet , P
Spring Framework 开发参考手册 Rod Johnson Juergen Hoeller Alef Arendsen Colin Sampaleanu Rob Harrop Thomas Risberg Darren Davison Dmitriy Kopylenko Mark Pollack Thierry Templier Erwin Vervaet Portia Tung Ben Hale Adrian Colyer John Lewis Costin Leau Rick
Keras官方文档PDF版，带书签，一共307页，完整版，目前最好的版本！欢迎下载！model train on batch(x batch, y batch)
只需一行代码就能评估模型性能:
loss and metrics modelevaluate(x test, y test, batch size=128)
或者对新的数据生成预测:
classes =model predictx test, batch size=128)
构建一个问答系统,一个图像分类模型,一个神经图灵机,或者其他的
