fix: Add Full Deep Learning Curriculum (TensorFlow & Keras) - from Foundations to LLMs and Generative Models

[MOHAMMEDFAHD]

Overview

This PR introduces a complete Deep Learning curriculum built using TensorFlow 2.x and Keras 3.x, designed as a structured, production-quality learning system for freeCodeCamp.

The curriculum is not a collection of isolated lessons. It is a fully engineered learning pathway that takes learners from beginner to advanced level through a coherent sequence of concepts, implementations, and real-world systems.

The design is based on a notebook-first architecture, but this contribution focuses on translating that architecture into a rigorous theoretical and curriculum structure aligned with freeCodeCamp standards.

Curriculum Scope
Estimated 120–160 hours of learning
Covers the full Deep Learning stack:
Foundations (Math, TensorFlow, Data Pipelines)
Feedforward Neural Networks
Convolutional Neural Networks
Recurrent Neural Networks
Attention & Neural Machine Translation
Transformers (BERT, GPT)
Large Language Models (LLMs)
Generative Models (VAE, GAN, Diffusion)
Multimodal Systems (CLIP, Captioning, VQA)

[github-actions]

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[github-actions]

Hi there,

Thanks for opening this pull request.

We kindly ask that contributors open an issue before submitting a PR so the change can be discussed and approved before work begins. This helps avoid situations where significant effort goes into something we ultimately cannot merge.

Please open an issue first and allow it to be triaged. Once the issue is open for contribution, you are welcome to update this pull request to reflect the issue consensus. Until then, we will not be able to review your pull request.

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