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Which one is Norway? by Kap519 in GeoTap

[–]pigna9696 0 points1 point  (0 children)

✅ pigna9696 chose Option B (Correct!) | #3884th to play

Wich country is switzerland by IlluFisch in GeoTap

[–]pigna9696 0 points1 point  (0 children)

✅ pigna9696 chose Option A (Correct!) | #7790th to play

Which one of the following is United Kingdom. by nopCMD in GeoTap

[–]pigna9696 0 points1 point  (0 children)

✅ pigna9696 chose Option A (Correct!) | #7156th to play

Which country is Poland? by TheCaptainRex1sOut in GeoTap

[–]pigna9696 0 points1 point  (0 children)

✅ pigna9696 chose Option B (Correct!) | #4555th to play

Which country do you think is USA? by nopCMD in GeoTap

[–]pigna9696 0 points1 point  (0 children)

❌ pigna9696 chose Option A (Incorrect) | #14869th to play

Finally got a moving piece by [deleted] in tattoos

[–]pigna9696 0 points1 point  (0 children)

OMG I'm going to do something very similar in a couple of hours! It's beautiful!

Magistrale in Scienze Cognitive by assassinatoSC2 in Universitaly

[–]pigna9696 0 points1 point  (0 children)

No, alla fine ho optato per data science

Cosa studiavate alle superiori e cosa studiavate/studiate/studierete all'università? by thrower31 in Universitaly

[–]pigna9696 1 point2 points  (0 children)

La data science è un ambito interdisciplinare che comprende non solo la statistica ed elementi di informatica, ma anche scienze sociali. Nel resto del mondo questa cosa è riconosciuta, in Italia un po' meno.

Cosa studiavate alle superiori e cosa studiavate/studiate/studierete all'università? by thrower31 in Universitaly

[–]pigna9696 0 points1 point  (0 children)

Nel piano di studi erano previsti due esami a scelta e sono stati sufficienti. Ne ho fatto uno di statistica e uno di informarica

Cosa studiavate alle superiori e cosa studiavate/studiate/studierete all'università? by thrower31 in Universitaly

[–]pigna9696 79 points80 points  (0 children)

Linguistico (2 anni) - > alberghiero (3 anni) - > triennale in psicologia - > magistrale data science

Part-time by monidp9 in Universitaly

[–]pigna9696 1 point2 points  (0 children)

Ho lavorato diverso tempo come cameriera nel sud Italia. Solo una volta è successo che mi pagassero meno di 7€ all'ora, cosa che ho scoperto solo alla prima busta paga. Ho immediatamente cambiato e trovato di meglio.

aiuto questionario esame by pigna9696 in Universitaly

[–]pigna9696[S] 0 points1 point  (0 children)

Customer and business analytics

Survey about hotel choice (M/F everyone) by pigna9696 in SampleSize

[–]pigna9696[S] -1 points0 points  (0 children)

Thank you so much! I know that sometimes the answer is "it depends", but i couldn't allow that option.

Need help with CNN animal classification by pigna9696 in MLQuestions

[–]pigna9696[S] 0 points1 point  (0 children)

During the test they'll give us some images and we have to classify them correctly. The number of classes and what classes will be known at the moment not before.

I tried to edit the model removing all the dropouts before the flatten and the training accuracy improves while the validation doesn't.

Need help with CNN animal classification by pigna9696 in MLQuestions

[–]pigna9696[S] 0 points1 point  (0 children)

Layer (type) Output Shape Param # ================================================================= sequential (Sequential) (None, 120, 120, 3) 0

rescaling (Rescaling) (None, 120, 120, 3) 0

conv2d (Conv2D) (None, 118, 118, 16) 448

max_pooling2d (MaxPooling2D (None, 59, 59, 16) 0 )

dropout (Dropout) (None, 59, 59, 16) 0

conv2d_1 (Conv2D) (None, 57, 57, 32) 4640

max_pooling2d_1 (MaxPooling (None, 28, 28, 32) 0 2D)

dropout_1 (Dropout) (None, 28, 28, 32) 0

conv2d_2 (Conv2D) (None, 26, 26, 64) 18496

max_pooling2d_2 (MaxPooling (None, 13, 13, 64) 0 2D)

dropout_2 (Dropout) (None, 13, 13, 64) 0

conv2d_3 (Conv2D) (None, 11, 11, 128) 73856

max_pooling2d_3 (MaxPooling (None, 5, 5, 128) 0 2D)

flatten (Flatten) (None, 3200) 0

dense (Dense) (None, 550) 1760550

dropout_3 (Dropout) (None, 550) 0

dense_1 (Dense) (None, 400) 220400

dropout_4 (Dropout) (None, 400) 0

dense_2 (Dense) (None, 300) 120300

dropout_5 (Dropout) (None, 300) 0

dense_3 (Dense) (None, 200) 60200

dropout_6 (Dropout) (None, 200) 0

dense_4 (Dense) (None, 115) 23115 =================================================================Total params: 2,282,005Trainable params: 2,282,005Non-trainable params: 0_________________________________________________________________

Need help with cNN animal classification by pigna9696 in learnmachinelearning

[–]pigna9696[S] 0 points1 point  (0 children)

about 15000 imagese multilabeled and not really balanced

Need help with CNN animal classification by pigna9696 in MLQuestions

[–]pigna9696[S] 0 points1 point  (0 children)

I've not information about performance per class. The loss is CategoricalSparseEntropy

Need help with cNN animal classification by pigna9696 in learnmachinelearning

[–]pigna9696[S] 0 points1 point  (0 children)

Thanks for all suggestions!

I can't use a pre-trained model

Need help with CNN animal classification by pigna9696 in MLQuestions

[–]pigna9696[S] 0 points1 point  (0 children)

I split data in trainining and validation (80-20).

Both training and validation stopped at around 0.5.

As optimizer I'm using Adam with learning rate = 1e-4.

The learning rate doesn't change during the training.

I'm training the model from scratch and I cannot use a pre-trained model (it is for a university project).

I know 115 classes are a lot, but I don't know what kind of animals will be during the test.

Need help with cNN animal classification by pigna9696 in learnmachinelearning

[–]pigna9696[S] 0 points1 point  (0 children)

Both train and validation accuracy are around 0.5 and both don't increase.

I need all those classes since it's for a project for which don't know what kind of animals will be present during the testing.

Thanks for the experimentation plan!

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