How mrdbourke/tensorflow-deep-learning works
This repository is a TensorFlow deep-learning course, not a conventional application: learners progress through notebooks that teach fundamentals, model types, and applied projects. README documents companion video notebooks, exercises, slides, and an online book. The graph preserves those major learning branches; the sampled source only establishes that helper_functions.py provides reusable utilities, so no lesson-to-helper calls are asserted.
Main entry points: 00_tensorflow_fundamentals.ipynb TensorFlow Fundamentals · 01_neural_network_regression_in_tensorflow.ipynb Neural Regression · 02_neural_network_classification_in_tensorflow.ipynb Neural Classification · 03_convolutional_neural_networks_in_tensorflow.ipynb Convolutional Vision
Components 18
Core Foundations
- TensorFlow Fundamentals
00_tensorflow_fundamentals.ipynb - Neural Regression
01_neural_network_regression_in_tensorflow.ipynb - Neural Classification
02_neural_network_classification_in_tensorflow.ipynb
Model Specializations
- Convolutional Vision
03_convolutional_neural_networks_in_tensorflow.ipynb - Feature Extraction
04_transfer_learning_in_tensorflow_part_1_feature_extraction.ipynb - Fine Tuning
05_transfer_learning_in_tensorflow_part_2_fine_tuning.ipynb - Scaling Transfer Learning
06_transfer_learning_in_tensorflow_part_3_scaling_up.ipynb - TensorFlow NLP
08_introduction_to_nlp_in_tensorflow.ipynb - Time Series Forecasting
10_time_series_forecasting_in_tensorflow.ipynb
Applied Projects
- Food Vision Project
07_food_vision_milestone_project_1.ipynb - SkimLit Project
09_SkimLit_nlp_milestone_project_2.ipynb
Learning Materials
- Certification Guidance
11_passing_the_tensorflow_developer_certification_exam.md - Reusable Utilities
extras/helper_functions.py - Video Notebooks
video_notebooks/README.md - Online Book
docs/index.md - Exercises
extras/solutions - Course Slides
slides
Other components
- Learner
Connections 16
- Learner → TensorFlow Fundamentals: starts course
README.md - TensorFlow Fundamentals → Neural Regression: continues with
README.md - Neural Regression → Neural Classification: continues with
README.md - Neural Classification → Convolutional Vision: continues with
README.md - Convolutional Vision → Feature Extraction: continues with
README.md - Feature Extraction → Fine Tuning: continues with
README.md - Fine Tuning → Scaling Transfer Learning: continues with
README.md - Scaling Transfer Learning → Food Vision Project: continues with
README.md - Food Vision Project → TensorFlow NLP: continues with
README.md - TensorFlow NLP → SkimLit Project: continues with
README.md - SkimLit Project → Time Series Forecasting: continues with
README.md - Learner → Video Notebooks: uses companion
README.md - Learner → Online Book: reads course
README.md - Learner → Exercises: practices with
README.md - Learner → Course Slides: reviews concepts
README.md - Learner → Certification Guidance: reviews guidance
README.md