parameter sharing
3 episodes mention this concept
lexfridmanSep 27, 2016The Evolution, Architecture, and Impact of Convolutional Neural Networks in Computer Vision
TechnologyDeep LearningComputer VisionNeural NetworksConvolutional Neural Networks (CNNs)- lexfridman
MIT 6.S094: Deep Learning Architectures and Semantic Segmentation in Computer Vision
TechnologyComputer VisionDeep LearningNeural NetworksSupervised 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 parameter sharing across episodes.
- convolutional neural networks (cnns)
- supervised learning
- image classification
- computer vision
- neural networks
- deep learning
- backpropagation
- activation map
- spatial invariance
- activation functions (sigmoid, relu)
- pooling (max pooling)
- max pooling
- loss function (objective function, cost function)
- object recognition
- recurrent neural networks (rnns)
- vanishing gradients
- fully connected layer
- activation functions
- skip connections
- encoder-decoder framework