Week 11

(02/01/2023 - 08/01/2023)

• Started to make the presentation slides for the mid evaluation.

• Train the model using VGG16 and increased the epochs from 100 to 200 and 200 to 600. 

Observations / Results :-

For 100 epochs - Accuracy 0.80

For 200 epochs - Accuracy 0.83

For 600 epochs - Accuracy 0.89

• After changed the epochs, compared the accuracy using the obtained graphs.

For 600 epochs , obtained a better accuracy graph.

• search other algorithms to improve the water detection

FNC -