# The same network performs differently in Flux.jl and tensorflow

**URL:** <https://discourse.julialang.org/t/the-same-network-performs-differently-in-flux-jl-and-tensorflow/28378>\
**Category:** Machine Learning\
**Tags:** performance\
**Created:** [September 4, 2019, 3:41pm UTC](https://discourse.julialang.org/t/the-same-network-performs-differently-in-flux-jl-and-tensorflow/28378 "2019-09-04T15:41:12Z")\
**Posts on this page:** 1\
**Showing post:** 5

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**Author:** ![Alexander-Barth](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/alexander-barth/32/3692_2.png) [@Alexander-Barth](https://discourse.julialang.org/u/Alexander-Barth)\
**Post date:** [September 4, 2019, 6:12pm UTC](https://discourse.julialang.org/t/the-same-network-performs-differently-in-flux-jl-and-tensorflow/28378/5 "2019-09-04T18:12:59Z")

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Could the batch size be an issue? It seems that keras defaults to 32 if unspecified ([The Model class](https://keras.io/models/model/)).

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