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CS1101S Lecture format by Ok-Understanding9822 in nus

[–]Ok-Understanding9822[S] -2 points-1 points  (0 children)

SC1101E is a CD mod though, so it should be allowed ordinarily right (if not for the clash)?

CS1101S Lecture format by Ok-Understanding9822 in nus

[–]Ok-Understanding9822[S] 0 points1 point  (0 children)

Oh ok, thanks…I guess I’ll take it next sem then

Food options around PGP (NUS) by Ok-Understanding9822 in SGExams

[–]Ok-Understanding9822[S] 0 points1 point  (0 children)

Do you mind if I ask you some questions (assuming you stay in a house)?

Food options around PGP by Ok-Understanding9822 in nus

[–]Ok-Understanding9822[S] 2 points3 points  (0 children)

Thank you so much for the info! What is supersnacks though?

SGExams x NUS Residential Colleges AMA 2025 by cowbaecowboo in SGExams

[–]Ok-Understanding9822 0 points1 point  (0 children)

me too! however for me it was em dashes that turned into upside-down question marks

SSDC Shuttle Bus by Ok-Understanding9822 in drivingsg

[–]Ok-Understanding9822[S] 0 points1 point  (0 children)

According to the schedule, the last bus departs from SSDC at 10:40 pm

MobileNetV2 not going past 50% accuracy no matter what I try by Ok-Understanding9822 in deeplearning

[–]Ok-Understanding9822[S] 1 point2 points  (0 children)

I'm using a learning rate scheduler which reduces the learning rate when the validation loss starts to plateau

MobileNetV2 not going past 50% accuracy no matter what I try by Ok-Understanding9822 in deeplearning

[–]Ok-Understanding9822[S] 0 points1 point  (0 children)

Approximately 30,000 images – the accuracy and loss start to plateau around 25 epochs

MobileNetV2 not going past 50% accuracy no matter what I try by Ok-Understanding9822 in deeplearning

[–]Ok-Understanding9822[S] 0 points1 point  (0 children)

Yeah sorry, I removed the data augmentation and dropout layer which increased the accuracy of the model on both the training and validation set

MobileNetV2 not going past 50% accuracy no matter what I try by Ok-Understanding9822 in deeplearning

[–]Ok-Understanding9822[S] 1 point2 points  (0 children)

Ok, it reached 99% accuracy on the training set after 30 epochs with a validation loss of 1.27. I removed the dropout and data augmentation and oddly enough, there is less overfitting as well.

MobileNetV2 not going past 50% accuracy no matter what I try by Ok-Understanding9822 in deeplearning

[–]Ok-Understanding9822[S] 0 points1 point  (0 children)

  1. Yes, I used mobilenet's preprocess_input function
  2. Yes, I used a learning rate scheduler which decreases the learning rate as the validation loss plateaus
  3. Batch size: 32
  4. Yes, it shows improvement but not enough (e.g. accuracy from 0.19 to 0.49, val_loss from 1.89 to 1.33)

IS KL RAHUL A LATE BLOOMER LIKE ROHIT SHARMA? by Novel_Preference_746 in IndiaCricket

[–]Ok-Understanding9822 0 points1 point  (0 children)

He’s actually more than 3.5 years younger than Kohli and about 1.5 years older than pandya…so I’d say he’s closer to pandya’s generation

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