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 🛠

• 🛩️ Regression using kaggles-insurance-forecast dataset.

• 🛩️ Multi-class Classification using keras fashion_mnist dataset.

• 🚀 Food Vision using CNN's.

• 🚀 Skimlit : NLP.

• 🚀 BitPredict.

  🛩️ : Mini Projects

  🚀 : Major 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