Fase 6 — Deep Learning + GenAI Preview

Estimasi: 2 minggu (~40 jam dari kelas Dicoding 110 jam — pre-cover ~35%) Prasyarat: Fase 1-5 Tujuan: Bangun intuisi deep learning + transformer + LLM. Saat kelas Dicoding bahas 110 jam, kamu sudah punya mental model.

Strategi

Sama dengan Fase 5: TIDAK perlu pre-cover semua. Yang penting:

• Intuisi neural network
• PyTorch basics
• Konsep transformer
• Pernah pakai HuggingFace

Sehingga saat kelas dimulai, kamu fokus ke deeper engineering, bukan struggle dengan dasar.

Roadmap

File	Topik	Estimasi
01-pytorch-basics.md	Tensor, autograd, training loop	5 jam
02-neural-networks.md	nn.Module, layers, optimizer	6 jam
03-cnn-rnn.md	CNN untuk image, RNN untuk seq	5 jam
04-nlp-fundamentals.md	Tokenization, embedding, word2vec	4 jam
05-transformer.md	Self-attention, multi-head, full transformer	8 jam
06-huggingface.md	transformers library, pretrained model	6 jam
07-llm-api.md	OpenAI/Anthropic/Gemini API + LLM patterns	6 jam
challenges.md	Final challenges	-

Tools

pip install torch torchvision transformers datasets accelerate
pip install openai anthropic google-generativeai

Aturan

1. Wajib tonton Karpathy "Neural Networks: Zero to Hero" — episode 1 minimum
2. Wajib tonton Karpathy "Let's build GPT" — pre-Fase 5 transformer
3. Pakai Google Colab kalau laptop tanpa GPU
4. Bikin akun Hugging Face untuk Fase 6+

---

📚 Referensi Belajar Fase 6

⭐ Wajib

Resource	Tipe	Harga
Karpathy — Neural Networks: Zero to Hero	🎥 Video (10+ jam)	🆓
Fast.ai — Practical Deep Learning	🎥 Course	🆓
Hugging Face — NLP Course	📖 + 💻 Course	🆓

Recommended

Resource	Tipe	Harga
The Illustrated Transformer	📖 Teks	🆓
The Annotated Transformer	📖 + Code	🆓
PyTorch Official Tutorials	📖 + 💻	🆓
Dive into Deep Learning	📚 Buku interaktif	🆓
Lil'Log — Lilian Weng	📖 Blog	🆓
Deep Learning Specialization (Coursera)	🎥 Course	💰 ~$49/bulan
"Natural Language Processing with Transformers"	📚 Buku	💰 ~$55

Lihat daftar lengkap di RESOURCES.md

---

Mulai dari: 01-pytorch-basics.md