/deep-learning-tensorflow

This repo contains the notebooks and notes and certain study materials I am using to learn Deep Learning from scratch.

Primary LanguageJupyter NotebookMIT LicenseMIT

Learning Deep Learning with TensorFlow

This repo contains the notebooks and notes and certain study materials I am using to learn Deep Learning from scratch. Repo will be updated as I learn.

All of the course materials from the Zero to Mastery Deep Learning with TensorFlow course.

Built and end to end CNN Food Image Classifier. Check it out : Food Vision

Contents of this page

Notebooks: all the notebooks I code while learning the course

Projects 🛠: projects I do on inbuilt mini data-sets and few large data-sets

log 🗒️ : updates, changes and progress

to-do 🎯 : there's still more to-do !

Notebooks

All the notebooks I code while learning the course

📖 00-tensorflow-basics.ipynb

📖 01-regression-tensorflow.ipynb

📖 02-classification-tensorflow.ipynb

📖 03-computer-vision-with-tensorflow.ipynb

📖 04-transfer-learning-feature-extraction-tensorflow.ipynb

Projects 🛠

log 🗒️

  • 09 May 2021 - Created the repository, uploaded all the available baseline notebooks
  • 20 May 2021 - Added Computer Vision and CNN Notebooks
  • 21 May 2021 - Added helper_function.py in extras/ folder
  • 22 May 2021 - Polished Notebooks 1,2
  • 25 May 2021 - Started working on FoodVision
  • 29 May 2021 - Built an FoodVision model with Accuracy 79%
  • 2 June 2021 - Deployed Food Vision on Streamlit (check it out)
  • 11 June 2021 - Repo will be halted for a couple of weeks

to-do 🎯

  • Add all the base line notebooks

  • Create a basic README File

  • Polish all the Notebooks

  • Update the Notebooks and README with notebook summaries

  • Probably create a new folder for misc resources