DL_Yes/NO_Quiz7

Oui ou Non

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True or false

Créé par

Sivaranjini S

India

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Grammys for best song/record

Educaplay Educational Resources

Spain

(50)

Answer if these songs won the Grammy for Best Song or Record of the Year (the general ones, category Grammys do not count)
Foot and Ankle Anatomy Quiz

Thilaxshi Suresh

United Kingdom

(9)

Test your knowledge of the bones, joints, and muscles of the foot and ankle with this interactive quiz. Answer with ✅ if the statement is correct and ❌ if it is incorrect.
Is it created with Artificial Intelligence? - Complete game

Educaplay Educational Resources

Spain

(17)

Images, songs... Nothing is what it seems anymore. Are they generated with AI, or are they real?
Adjective Checker

Erika Moreno

Ecuador

(14)

In this game, you will have to determine if the adjective provided accurately describes the noun. Test your knowledge of adjectives and see if you can spot the correct matches!
Is it true?

Educaplay Educational Resources

Spain

(59)

Answer if the following sentences about general culture are true or not.


DL_Yes/NO_Quiz7Version en ligne True or false par Sivaranjini S 1 Non-Maximum Suppression (NMS) is applied to the RPN's proposals before they are passed to the detection head, in order to reduce redundancy among highly overlapping proposals. Yes No 2 DenseNet differs from ResNet in that DenseNet concatenates feature maps from all preceding layers within a dense block, whereas ResNet adds the input of a block to its output. Yes No 3 In BPTT, gradients are computed only for the final time step. Yes No 4 Transposed convolution is used to reduce spatial dimensions in segmentation networks Yes No 5 In GANs, the generator and discriminator are trained simultaneously in a competitive manner. Yes No 6 FPN relies on multiple resized input images like traditional image pyramids. Yes No 7 Skip connections increase the number of learnable parameters significantly. Yes No 8 Two-stage detectors first classify objects and then generate region proposals. Yes No 9 A predictive model trained on time-stamped patient data without temporal validation can overfit by leaking future information into the training set. Yes No 10 The GAN generator is trained without ever directly seeing real data — it learns only via gradient signals back-propagated through the discriminator. Yes No

DL_Yes/NO_Quiz7Version en ligne

True or false

par Sivaranjini S

Non-Maximum Suppression (NMS) is applied to the RPN's proposals before they are passed to the detection head, in order to reduce redundancy among highly overlapping proposals.

Yes

DenseNet differs from ResNet in that DenseNet concatenates feature maps from all preceding layers within a dense block, whereas ResNet adds the input of a block to its output.

Yes

In BPTT, gradients are computed only for the final time step.

Yes

Transposed convolution is used to reduce spatial dimensions in segmentation networks

Yes

In GANs, the generator and discriminator are trained simultaneously in a competitive manner.

Yes

FPN relies on multiple resized input images like traditional image pyramids.

Yes

Skip connections increase the number of learnable parameters significantly.

Yes

Two-stage detectors first classify objects and then generate region proposals.

Yes

A predictive model trained on time-stamped patient data without temporal validation can overfit by leaking future information into the training set.

Yes

The GAN generator is trained without ever directly seeing real data — it learns only via gradient signals back-propagated through the discriminator.

Yes

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DL_Yes/NO_Quiz7

Oui ou Non

À propos de cette activité

Créé par

Téléchargez la version pour jouer sur papier

Top Jeux

Oui ou Non

Grammys for best song/record

Oui ou Non

Foot and Ankle Anatomy Quiz

Oui ou Non

Is it created with Artificial Intelligence? - Complete game

Oui ou Non

Adjective Checker

Oui ou Non

Is it true?

DL_Yes/NO_Quiz7Version en ligne

par Sivaranjini S

Non-Maximum Suppression (NMS) is applied to the RPN's proposals before they are passed to the detection head, in order to reduce redundancy among highly overlapping proposals.

DenseNet differs from ResNet in that DenseNet concatenates feature maps from all preceding layers within a dense block, whereas ResNet adds the input of a block to its output.

In BPTT, gradients are computed only for the final time step.

Transposed convolution is used to reduce spatial dimensions in segmentation networks

In GANs, the generator and discriminator are trained simultaneously in a competitive manner.

FPN relies on multiple resized input images like traditional image pyramids.

Skip connections increase the number of learnable parameters significantly.

Two-stage detectors first classify objects and then generate region proposals.

A predictive model trained on time-stamped patient data without temporal validation can overfit by leaking future information into the training set.

The GAN generator is trained without ever directly seeing real data — it learns only via gradient signals back-propagated through the discriminator.

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