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touch ups

This commit is contained in:
Kamila Bobkowska 2020-05-10 16:25:13 +00:00
parent d09cc37c54
commit 1aeb9bf1fa
1 changed files with 17 additions and 3 deletions
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Report_Kamila_Bobkowska.md
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@ -32,15 +32,29 @@ classifier.compile(optimizer = "adam", loss = "binary_crossentropy", metrics = [
```
After that I did some work with preprocessing the images I was working with. Made sure that the size is still (110, 110). set a batch size, allowed for flips and such.
```
train_datagen = ImageDataGenerator(
rescale=1./255,
shear_range=0.1,
zoom_range=0.1,
width_shift_range=0.1,
height_shift_range=0.1,
horizontal_flip=True,
vertical_flip=True,
)
```
Later I trained my classifier and saved it's weights for future use in the project. I attempted this about 5 times with different number of epochs and the size per epoch.
**UPDATE:**
I tried running it once again with more epochs and steps per epoch and get a better resulat and I think a better validation loss than before.
```
classifier.fit_generator( train_generator, steps_per_epoch = 150, epochs = 25, validation_data = test_generator )
classifier.save_weights('model_ver_4.h5')
classifier.fit_generator( train_generator, steps_per_epoch = 165, epochs = 32, validation_data = test_generator )
classifier.save_weights('model_ver_5.h5')
```
Training:
![Example](https://i.imgur.com/FNoNLJq.png)
![Example](https://i.imgur.com/HBBvWCM.png)
## Changes in the common part