activation function
8 episodes mention this concept
lexfridmanJul 19, 2020Neural Networks Learning Spirals: Visualizing Architecture and Hyperparameter Impact
TechnologyNeural networksBinary classificationTensorFlow PlaygroundHyperparameters- lexfridmanFeb 21, 2020
Andrew Ng's Expert Advice on Getting Started and Building a Career in Deep Learning and AI
TechnologyDeep LearningMachine LearningNeural NetworksGradient Descent - lexfridmanSep 27, 2016
Foundations of Deep Learning: Feedforward Neural Networks, Backpropagation, and Training Techniques
TechnologyFeedforward Neural NetworksInput VectorHidden LayersPre-activation - lexfridman
Deep Reinforcement Learning Fundamentals: From Perceptrons to Q-Learning for Motion Planning
TechnologyDeep Reinforcement Learning (DRL)Supervised LearningUnsupervised LearningSemi-supervised Learning - lexfridman
The Business and Philosophy of Machine Learning: Promise, Limitations, and the Quest for General Intelligence
TechnologyMachine LearningArtificial Intelligence (AI)Deep LearningSupervised Learning - lexfridman
MIT 6.S094: Deep Learning Architectures and Semantic Segmentation in Computer Vision
TechnologyComputer VisionDeep LearningNeural NetworksSupervised Learning - lexfridman
MIT 6.S094: Deep Learning for Self-Driving Cars - Foundations, Challenges, and Human-Centered AI
TechnologyDeep LearningSelf-Driving CarsArtificial Intelligence (AI)Reinforcement Learning - lexfridman
Recurrent Neural Networks and the Fundamentals of Backpropagation for Steering Through Time
TechnologyRecurrent Neural Networks (RNNs)BackpropagationVanishing GradientsExploding Gradients
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Related concepts
Concepts that appear alongside activation function across episodes.
- weights and biases
- backpropagation
- unsupervised pre-training
- loss function
- hyperbolic tangent (tanh) activation function
- sigmoid activation function
- stochastic gradient descent (sgd)
- deep learning
- rectified linear activation function (relu)
- computational units
- batch normalization
- general intelligence
- softmax activation function
- feedforward neural networks
- data representation
- reinforcement learning
- supervised learning
- chain rule
- compute power
- object detection