Getting wrong prediction after loading a saved model

Finally, I got the answer. The model was saved and loaded correctly. The problem was that the x_test which I was passing to the prediction with saving/loading and without saving/loading was different (I know, I am really sorry for this mistake). The x_test w/o saving/loading the model had values +1 than the x_test w/ saving/loading. This was suggested to me by a tensorflow developer on github where I had opened up the issue.

Tags:

Python

Tensorflow

Related

What is the most efficient way to compute the difference of lines from two files? Context without cancel propagation Why apply a non-exist key to map::find would return a iterator with first value map size in C++? Why is it not possible to use the is operator to discern between bool and Nullable<bool>? Flutter how to display datepicker when textformfield is clicked Using Factory Pattern with ASP.NET Core Dependency Injection moment's isSameOrBefore and isSameOrAfter return "is not a function" when called from a moment and passed a moment Preprocessor definition duplication jsPDF: html2canvas not loaded while using new .html() method Inconsistent behaviour across compilers in regard to instantiation of a template in a discarded if constexpr(false) statement How to sort integer array in ascending and descending order using lambda only in java Any way to programmatically determine which Java language features are available on current platform?

Recent Posts