deep learning progress
2 episodes mention this concept
lexfridmanOct 9, 2019François Chollet on Why Scientific Progress is Linear, Not Exponential, and the Limits of AI Explosion
ScienceIntelligence explosionScientific progressRecursive self-improvementResource consumption- lexfridman
Practical Deep Learning Strategies: Scale, End-to-End Architectures, and Evolving Bias-Variance Trade-offs
TechnologyDeep Learning ProgressScale (Data & Computation)Traditional Learning AlgorithmsNeural Networks
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Related concepts
Concepts that appear alongside deep learning progress across episodes.
- reinforcement learning
- image models
- linear output
- image synthesis
- model architecture
- high bias (underfitting)
- scale (data & computation)
- recursive self-improvement
- general deep learning models
- resource consumption
- human-level error
- regularization
- high variance (overfitting)
- neural networks
- training error
- traditional learning algorithms
- market for discoveries
- temporal density of significance
- end-to-end deep learning
- early stopping