Row 4398

Row ID: 4398 | Dataset Entry | Axioma AXP Content Repository

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https://preview.redd.it/haywrmcuuotc1.png?width=1280&format=png&auto=webp&s=4505b62d74a9be61734081acc968055dc189fd9e

Hi,

This is a Tensorflow tutorial that enables you to classify world landmarks using the pre-trained Tensor-Hub platform.

We will how install the relevant Python libraries , look for the right pre-trained model , and learn how to use it for classify landmark images in Europe.

The link for the video tutorial is here : [https://youtu.be/IJ5Z9Awzxr4](https://youtu.be/IJ5Z9Awzxr4)

I also shared the link for Python code here : [https://github.com/feitgemel/TensorFlowProjects/tree/master/Tensor-Hub-Landmarks](https://github.com/feitgemel/TensorFlowProjects/tree/master/Tensor-Hub-Landmarks)

​

Enjoy

Eran

\#Python #Cnn #TensorFlow #AI #Deeplearning #TensorFlow #ImageClassification #TransferLearning #Python #DeepLearning #ArtificialIntelligence #PretrainedModels #ImageRecognition #OpenCV #ComputerVision #Cnn

FieldValue
text https://preview.redd.it/haywrmcuuotc1.png?width=1280&format=png&auto=webp&s=4505b62d74a9be61734081acc968055dc189fd9e Hi, This is a Tensorflow tutorial that enables you to classify world landmarks using the pre-trained Tensor-Hub platform. We will how install the relevant Python libraries , look for the right pre-trained model , and learn how to use it for classify landmark images in Europe. The link for the video tutorial is here : [https://youtu.be/IJ5Z9Awzxr4](https://youtu.be/IJ5Z9Awzxr4)…
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datetime 2024-04-10
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Raw Record

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