Mind map
Deep Learning Architectures
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Deep Learning Architectures
Encoder / Decoder
- Encoder: Takes input and generates a high dimen. feature vector (feature representation)
- Decoder: Takes feature representation as input and generates output
- CNNs
- Example: Image Segmentation
- Example: Image Segmentation
- RNNs
- Mixed Style (CNN + RNN)
- CNNs
- Decoder: Takes feature representation as input and generates output
- Encoder: Takes input and generates a high dimen. feature vector (feature representation)
Transformer
- No Encoder/Decoder, just Attention Mechanism
- No Encoder/Decoder, just Attention Mechanism
RNN
- LSTM
- GRU
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- Description
- Mind Map on Deep Learning Architectures, created by Sophokles Ktistakis on 26/11/2018.
- Created by
- Sophokles Ktistakis
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