Deep Learning 11
- Where Do Facts Go to Live? MLPs, Superposition, and a Basketball Player Named Michael
- Attention Is a Third of What You Need: QKV, Dot Products, and the Other Two-Thirds
- Transformers: More Than Meets the Eye
- SIREN: Teaching Networks to Think in Sine Waves
- GANs: From a Thought Experiment to Photorealistic Faces
- When Neural Networks Lie: Adversarial Examples and the Art of Fooling AI
- From Autoencoders to VAEs: Learning to Generate, Not Just Compress
- LSTMs: How We Taught Neural Networks to Remember
- ML Normalization; A Primer
- ML Regularization; A Primer
- ML Optimization; A Primer