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images
images
 
 
logs
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01_Intro_to_Tenosrflow.ipynb
01_Intro_to_Tenosrflow.ipynb
 
 
02_More_on_Intialization.ipynb
02_More_on_Intialization.ipynb
 
 
03_GradientTape.ipynb
03_GradientTape.ipynb
 
 
04_loading_CSV.ipynb
04_loading_CSV.ipynb
 
 
05_loading_numpy.ipynb
05_loading_numpy.ipynb
 
 
06_loading_images.ipynb
06_loading_images.ipynb
 
 
07_Keras_intro.ipynb
07_Keras_intro.ipynb
 
 
08_Weight Initializers.ipynb
08_Weight Initializers.ipynb
 
 
09_Metrics.ipynb
09_Metrics.ipynb
 
 
10_CNN_fashion_dataset_example.ipynb
10_CNN_fashion_dataset_example.ipynb
 
 
11_CNN_MINST_dataset_example.ipynb
11_CNN_MINST_dataset_example.ipynb
 
 
12_Regularization.ipynb
12_Regularization.ipynb
 
 
13_Call_backs.ipynb
13_Call_backs.ipynb
 
 
14_Iris_dataset.ipynb
14_Iris_dataset.ipynb
 
 
15_Saving_and_loading_models.ipynb
15_Saving_and_loading_models.ipynb
 
 
16_loading_models_EuroSat.ipynb
16_loading_models_EuroSat.ipynb
 
 
17_Transfer_learning.ipynb
17_Transfer_learning.ipynb
 
 
README.md
README.md
 
 

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Introduction to Tensorflow2: The sequential API

This is a quick introduction to Tensorflow2, In order to be able to run all the jupyter notebooks you have to download the datesets. Each notebook has a link pointing to the datasets. The information presented here is a compilation from tensorflow's Documentation and a course given by Imperial College London, good Luck.

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