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למידה עמוקה - הרצאות,מעבדות וקוד

קורס למידה עמוקה בן גוריון

מנהלים:

Nofar Selouk

למידה עמוקה - הרצאות,מעבדות וקוד

Discuss, Learn and be Happy דיון בשאלות

Given an input image of size 64×64 and a filter of size 5×5 with no padding, what will be the output size after applying the filter?

How does stride affect the output of a CNN layer?

Why do Residual Networks (ResNets) improve deep learning performance?

What is the main advantage of using Inception Networks?

What is the purpose of 1×1 convolutions in CNNs?

Why does YOLO (You Only Look Once) outperform traditional object detection methods?

How does a Siamese Network differ from a traditional CNN?

What is the purpose of Triplet Loss in a Siamese Network?

What is the function of Neural Style Transfer in CNNs?

What is the key innovation in DenseNet compared to ResNet?

למידה עמוקה - הרצאות,מעבדות וקוד

Discuss, Learn and be Happy דיון בשאלות

Given an input image of size 64×64 and a filter of size 5×5 with no padding, what will be the output size after applying the filter?

How does stride affect the output of a CNN layer?

Why do Residual Networks (ResNets) improve deep learning performance?

What is the main advantage of using Inception Networks?

What is the purpose of 1×1 convolutions in CNNs?

Why does YOLO (You Only Look Once) outperform traditional object detection methods?

How does a Siamese Network differ from a traditional CNN?

What is the purpose of Triplet Loss in a Siamese Network?

What is the function of Neural Style Transfer in CNNs?

What is the key innovation in DenseNet compared to ResNet?