This is a list of topics I often ponder about while going about my day.
- Can high fidelity hardware sensors become obsolete with generative deep learning?
- Can you combat deep fakes with a blockchain ledger verification system?
- Is is plausible to use deep learning to build an entire neural network training pipeline? From model building, to learning new optimizers and loss functions.