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seminar-breakout
Commit bb9b43b6 authored by Yuxin Wu's avatar Yuxin Wu
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README.md
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...@@ -23,9 +23,8 @@ Focus on modularity. You just have to define the following three components to s ...@@ -23,9 +23,8 @@ Focus on modularity. You just have to define the following three components to s
+ Use Python to easily handle your own data format, yet still keep a good training speed thanks to multiprocess prefetch & TF Queue prefetch. + Use Python to easily handle your own data format, yet still keep a good training speed thanks to multiprocess prefetch & TF Queue prefetch.
For example, InceptionV3 can run in the same speed as the official code which reads data using TF operators. For example, InceptionV3 can run in the same speed as the official code which reads data using TF operators.
3. The callbacks, including everything you want to do apart from the training iterations. For example: 3. The callbacks, including everything you want to do apart from the training iterations. Such as:
+ Change hyperparameters + Change hyperparameters during training
+ Save models
+ Print some variables of interest + Print some variables of interest
+ Run inference on a test dataset + Run inference on a test dataset
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