https://github.com/peremartra/tensorflowcertification

Notebooks Used to prepare the TensorFlow Certification
https://github.com/peremartra/tensorflowcertification

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Notebooks Used to prepare the TensorFlow Certification

• Host: GitHub
• URL: https://github.com/peremartra/tensorflowcertification
• Owner: peremartra
• Created: 2022-07-14T09:23:05.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2022-08-08T09:39:00.000Z (about 2 years ago)
• Last Synced: 2023-04-05T15:21:44.693Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 4.16 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# TensorFlow Certification

Notebooks Used to prepare the TensorFlow Certificationby Google. https://www.tensorflow.org/certificate

## Files. 

[ConvMNISTImage.ipynb](https://github.com/oopere/TensorFlowCertification/blob/main/ConvMNISTImage.ipynb)

With 7 models, starting with the most simple model with just two Dense layers. And following with more complicated models using diffent kind of layers. 

The noteboopk is organized in parts:

Common funtions to plot the data. A callback function to stop the learning process whet it reach an appropiate % in  **val_data**. And one function witth all the models inside and their results. 

Differents technis suchs as Data Augmetation, Transfer Learning, Custom Learning Rate...

[IMAGERecog.ipynb](https://github.com/oopere/TensorFlowCertification/blob/main/IMAGERecog.ipynb)

Binary classification problem using the cat & dogs dataset. 

Different convolutiona models executed with and without Data Augmentation. 

Two different samples of Transfer learning with Inceptionv3 and VGG16.