feature engineering
5 episodes mention this concept
lexfridmanJul 19, 2020Neural Networks Learning Spirals: Visualizing Architecture and Hyperparameter Impact
TechnologyNeural networksBinary classificationTensorFlow PlaygroundHyperparameters- lexfridmanMay 10, 2020
The Unification of AI Modalities: Vision, Language, and Reinforcement Learning, and the Elusive Definition of 'Hardness' in AI
TechnologyDeep LearningComputer VisionNatural Language Processing (NLP)Reinforcement Learning (RL) - lexfridmanSep 27, 2016
Deep Reinforcement Learning: Core Methods, Applications, and Policy Gradients
TechnologyDeep Reinforcement Learning (DRL)Reinforcement Learning (RL)Neural NetworksFunction Approximators - 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 - lexfridman
Privacy-Preserving AI: Enabling Data Science on Unseen Data with PySyft and Differential Privacy
TechnologyPrivacy-Preserving AIRemote ExecutionDeep Learning FrameworksTensor
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Related concepts
Concepts that appear alongside feature engineering across episodes.
- neural networks
- scale (data & computation)
- neurons
- test loss
- tensor
- hidden layers
- supervised learning
- privacy-preserving ai
- high variance (overfitting)
- image synthesis
- training error
- traditional learning algorithms
- tensorflow playground
- de-anonymization
- state space
- deep reinforcement learning (drl)
- development set error
- value functions
- deep learning frameworks
- data anonymization (critique of)