Deep learning, neural networks, and ML frameworks — the books, foundational papers, repos, courses, and blogs worth your time. Curated from my MindStack hub. Links open in a new tab.
Books
| Resource | What | Link |
|---|
| Deep Learning — Ian Goodfellow | The foundational DL theory text (MIT Press). | book |
| Pattern Recognition and Machine Learning — Bishop | Springer classic; free PDF. | pdf |
| Hands-On Machine Learning — Géron | O'Reilly; the best practical starting point. | site |
| The Hundred-Page ML Book — Burkov | Tight, readable overview. Free PDF. | site |
| Machine Learning Yearning — Andrew Ng | How to structure ML projects. Free. | site |
Research Papers
| Resource | What | Link |
|---|
| Attention Is All You Need (Transformer) | Vaswani et al., 2017 — the architecture behind everything. | arXiv |
| ImageNet Classification with Deep CNNs | Krizhevsky et al., 2012 — AlexNet, started the deep era. | pdf |
| Generative Adversarial Networks | Goodfellow et al., 2014. | arXiv |
| BERT | Devlin et al., 2018 — bidirectional pretraining. | arXiv |
| ResNet: Deep Residual Learning | He et al., 2015. | arXiv |
GitHub Repositories
| Resource | What | Link |
|---|
| TensorFlow | Google's ML framework. | repo |
| PyTorch | Meta's ML framework — research default. | repo |
| Scikit-learn | Classic ML library. | repo |
| Transformers (Hugging Face) | SOTA NLP/multimodal models. | repo |
| Fast.ai | Deep learning library. | repo |
| Awesome Machine Learning | Curated ML resources. | repo |
Videos & Courses
| Resource | What | Link |
|---|
| Stanford CS229 — Andrew Ng | The classic ML course. | video |
| fast.ai — Practical Deep Learning | Top-down, code-first. Free. | site |
| 3Blue1Brown — Neural Networks | Visual intuition for NNs. | video |
| Deep Learning Specialization — Ng | Coursera specialization. | course |
| MIT 6.034 — Artificial Intelligence | MIT OCW. | video |
Articles & Blogs
| Resource | What | Link |
|---|
| Distill.pub | Interactive ML research. | site |
| Google AI Blog | Google's AI research. | site |
| OpenAI Blog | OpenAI updates. | site |
| Towards Data Science | Medium publication. | site |
| Machine Learning Mastery | Practical tutorials. | site |
Recommended Reading
| Resource | What | Link |
|---|
| Papers With Code | ML papers with code + leaderboards. | site |
| arXiv cs.LG | Latest ML preprints. | arXiv |
| Kaggle Learn | Free ML micro-courses. | site |
| MLflow | ML lifecycle platform. | site |
| Weights & Biases | Experiment tracking. | site |
where to start
New here? Read Hands-On ML alongside fast.ai, watch CS229, and reach for PyTorch + Transformers + scikit-learn to build. Papers With Code is your map to SOTA.