In this video we'll evaluate our Neural Network Model on our Test Data Set for Pytorch and Python.

Remember, we set up a train/test split and then trained our model in the previous video.

Now we'll validate our model by evaluating the 20% data in our test split.

#pytorch #codemy #JohnElder

Timecodes

0:00​​ - Introduction
0:54 - Turn Off Back Propagation
1:21 - Evaluate Test Data
2:36 - Find the Loss/Error
3:41 - See How The Test Data Did
6:01 - Print Out The Iris Class
6:30 - Find How Many We Got Correct
7:56 - Evaluate Val Vs Prediction
8:41 - Logic For Iris Type Strings
9:36 - Conclusion

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