This repository contains comprehensive course materials for the "Zero to Mastery Deep Learning with TensorFlow" course, targeting individuals with Python experience seeking to build and train neural networks. It offers a code-first approach to learning deep learning fundamentals, computer vision, NLP, and time series analysis using TensorFlow/Keras, with the benefit of practical, hands-on projects.

How It Works

The course follows a "Code -> Concept -> Code" methodology, prioritizing immediate practical application of deep learning techniques. It utilizes Google Colab notebooks for all exercises, providing structured learning paths with accompanying datasets, pre-trained models, and detailed explanations. The curriculum progresses from foundational TensorFlow operations to advanced topics like transfer learning, NLP, and time series forecasting, culminating in milestone projects.

Quick Start & Requirements

• Environment: Google Colab is the primary environment. Local setup requires Python (3.6+ recommended) and TensorFlow (2.10+ for certain notebook updates).
• Prerequisites: 6+ months of Python coding experience and familiarity with basic machine learning concepts (training/validation/test sets, supervised learning), pandas, NumPy, and Matplotlib.
• Resources: Links to YouTube lectures, an online book version, and the Zero to Mastery Academy for full course access are provided.

Highlighted Details

• Covers 10 core modules on deep learning with TensorFlow, including Computer Vision, NLP, and Time Series.
• Includes three major milestone projects: Food Vision, SkimLit (NLP), and BitPredict (Time Series).
• Offers extensive exercises and extra-curriculum resources for each module to deepen understanding.
• Provides solutions to exercises within the repository.

Maintenance & Community

The repository is actively maintained, with recent updates in May 2024 reflecting changes in TensorFlow versions and program deprecations. Discussions are encouraged for questions and clarifications.

Licensing & Compatibility

The repository content is primarily for educational purposes. Specific licensing for datasets or external resources may vary.

Limitations & Caveats

The TensorFlow Developer Certification section is archived as the program is no longer available. Some notebook updates require newer TensorFlow versions (2.13+ for specific fixes). The course assumes a "code-first" learning style, which may not suit all learners.