9. VGG16 architecture and implementation

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Here , I explain how VGG16 is constructed and how to code for the same..

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This is perhaps the easiest of all the approaches available online. Good work.

profdurgahere

This is the most lucid explanation about vgg16 implementation.Thank u so much Sir

citizen

This is the first lecture that tells me how to implement a VGG-based classifier. Great .

李昊宸-up

Well done, man, it's a "pocketbook" reference even on 2024, be proud!

fredericofurlan

one of the best teacher here. thank you sir.

isharawat

very well explained sir ... i saw many videos on the same topic but your way of explaining it was very easy and the best.

yashdubey

Sir, your explanation is outstanding and simple

muhammadawais

Sir, hats off to you for this clear n crisp implementation💯💯.

farhannaqvi

Thank you for sharing your valuable knowledge

suzansa

Thank you sir!! Your explanation was very easy to understand.

swatimaste

Liked before watching.. undoubtedly the video must be great..

Gamechanger..

@Shriram Vasudevan It looks there is small mistake at 2:06 . I guess we will have only 2 fc with 4096 and one softmax. But in the slide there are 3 fc 4096.

shivajin_

thanks for this amazing representation.

aminurrahmanashik

Thanks for delivering such an informative lecture.
You have written
if output[0][0] > output[0][1]:
print("cat")
else:
print("dog")
How to write if-else loop of 5 classes?

sunitathongam

Great lecture .. Thank you.. can you please share these slides,

soniasafeer

I like the "pooing" layers. I believe that's unique.

TravelersNextDoor

Great video. I have only one question. What are the dimensions of your training and test images? Do they have to be 224*224 before you import them into the algorithm?

nikolaostziokas

Great lecture sir...Is this what is known as VGG 16 with transfer learning?

godomotives

sir how to calculate precision and recall and confusion matrix

dhirendrakumarjha

How to change the size of training dataset with size 28, 28, 3 to VGG16 compatible input_shape

bhavana-lcpi

9. VGG16 architecture and implementation

9. VGG16 architecture and implementation

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