TensorFlow 2.0 Tutorial for Beginners 8 - Object Classification Using TensorFlow and VGG16 Model

In this video we will learn how to use the pre-trained VGG16 models to predict objects.VGG16 is a convolution neural net (CNN ) architecture that was used to win ILSVR(Imagenet) competition in 2014. It is considered to be one of the excellent vision model architecture to date. The most unique thing about VGG16 is that instead of having a large number of hyper-parameter they focused on having convolution layers of 3×3 filter with a stride 1 and always used the same padding and Maxpool layer of 2×2 filter of stride 2. It follows this arrangement of convolution and max pool layers consistently throughout the whole architecture. In the end, it has 2 FC(fully connected layers) followed by a softmax for output.

🔊 Watch till last for a detailed description
00:47 What is the VGG16 and VGG19 model?
02:02 Get started with code
06:00 Reading the image files
11:06 Analysing the output

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[HarishS-rxdz]

Your videos on tensorflow 2.0 is very good. i come back here for tensorflow 2.0 codes always.

[akashpawar]

Explanation is awesome i never get bored with your video sir

[humancodex]

Hi This is image classification, how can it is object detection.

[yuanshen]

thanks for your video, but because of my poor english, i cant understand "label "refer something that is what, could you help me?thank you very much

[bharathamma]

GitHub code is not available. error message for the GitHub link.

[kumareshbabu]

Hi Laxmi Sir,
Can you make video tutorials on PyTorch?
Thanks

[jitheshpai]

Sir, The github files are not available now.

[patilshubham]

Thanks a lot for making this tutorial __/\__

[GilangD]

why the subtitle is off sir? i quite helpful for me even the auto-generated one

[mariorosa]

This is not object detection. This is image classification. 👎

[sambasivarao]

Title is misleading, it is not detection, its just classification bro