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Using Deep Learning and Artificial Intelligence with TensorFlow to Classify Food Data

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food-classification-eda-images
food-classification-eda-images
 
 
food-classification-pickle_data
food-classification-pickle_data
 
 
.gitignore
.gitignore
 
 
Food-Classification-Evaluation.ipynb
Food-Classification-Evaluation.ipynb
 
 
Food-Classification-Exploratory-Data-Analysis.ipynb
Food-Classification-Exploratory-Data-Analysis.ipynb
 
 
Food-Classification-Explore-Augmentation.ipynb
Food-Classification-Explore-Augmentation.ipynb
 
 
Food-Classification-Training-Docker.ipynb
Food-Classification-Training-Docker.ipynb
 
 
Food-Classification-Training-Docker.py
Food-Classification-Training-Docker.py
 
 
Food-Classification-Training.ipynb
Food-Classification-Training.ipynb
 
 
README.md
README.md
 
 
Save-and-retrieve.ipynb
Save-and-retrieve.ipynb
 
 
TensorBoard.ipynb
TensorBoard.ipynb
 
 
alexnet.py
alexnet.py
 
 
datagenerator.py
datagenerator.py
 
 
external_downloads_url.txt
external_downloads_url.txt
 
 
file_downloader.py
file_downloader.py
 
 
food_classifier_101.ipynb
food_classifier_101.ipynb
 
 
input_sizing_calculator.xlsx
input_sizing_calculator.xlsx
 
 
test_downloader.py
test_downloader.py
 
 

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AI-Food-Classification

Use Deep Learning and Artificial Intelligence with TensorFlow to classify food into 11 categories. Dataset used and description can be found here: Food-11

Prerequisites

Download the dataset from link: Food-11.zip. Extract zip file as "Food-11" into the same folder 'AI-Food-Classification'. Ensure that "Food-11" has 3 sub directories.

Run

Run the JupyterNote 'Food-Classification-Exploratory-Data-Analysis'. Output images will be stored in 'food-classification-eda-images' directory

Analysis

Input size analysis: alt text

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Using Deep Learning and Artificial Intelligence with TensorFlow to Classify Food Data

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  • Jupyter Notebook 99.4%
  • Python 0.6%