vekoada / tensorflow-course

This repo contains the Jupyter notebooks I created while working through ZTM's TensorFlow course on Udemy. My goal is to pass the TensorFlow Developer Exam and earn the certification.

TensorFlow Certification Prep 🚀

This repo contains the Jupyter notebooks I created while working through ZTM's TensorFlow course on Udemy. The goal of this course is to help prepare me to pass the TensorFlow Developer Exam 📚 and earn the certification.

Notebooks 📔

Each notebook corresponds to a section or module from the course curriculum. They include my work, code examples, and exercises from following along with the lectures and materials.

Module 1 - Deep Learning and TensorFlow Fundamentals 🧠

• Notebook 1 - 00_tf_fundamentals.ipynb

Module 2 - Regression 📈

• Notebook 2 - 01_neural_network_regression.ipynb
• Notebook 3 - 01_neural_network_regression_worked_example.ipynb

Module 3 - Classification 📊

• Notebook 4 - 02_neural_network_classification.ipynb
• Notebook 5 - 02_neural_network_classification_worked_example.ipynb

Module 4 - Computer Vision and Convolutional Neural Networks 🖼️

• Notebook 6 - 03_cnn.ipynb
• Notebook 7 - 03_cnn_worked_example.ipynb

Module 5 - Transfer Learning Part 1: Feature Extraction 🔄

• Notebook 8 - 04_transfer_learning_part_1

Module 6 - Transfer Learning Part 2: Fine Tuning 🛠️

• Notebook 9 - 05_transfer_learning_part_2

Module 7 - Transfer Learning Part 3: Scaling Up 📈

• Notebook 10 - 06_transfer_learning_part_3

Module 8 - Food Vision Project

• Notebook 11 - 07_project_1_food_prediction

Module 9 - Natural Language Processing in progress 🚧

More Modules...

Resources 📚

Some additional resources I've found helpful:

• TensorFlow documentation
• ZTM Book Version
• Hands-On Machine Learning

Status 📅

I'm currently working through Module 9 of the course. My goal is to complete all notebooks and reviews in preparation for taking the exam by the end of February 2024. Feedback and suggestions for improvement are welcome!👍