Search "+Home -Language -Linguistic diversity +Music software -Language development +English language +Jürgen Schmidhuber -Yoshua Bengio -Residual Learning -Neural doodle"
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Positive matches
- 0.062 + - Human song
- 0.050 + - Musical composition
- 0.031 + - Music
- 0.025 + - beets (software)
- 0.025 + - music21
- 0.025 + - Humdrum
- 0.008 + - Remix
- 0.008 + - Music informatics
- 0.006 + - Food
- 0.006 + - Movie
- 0.006 + - Travel
- 0.006 + - YY
- 0.006 + - Urban legend
- 0.006 + - Notebook
- 0.006 + - Bookshelf
- 0.006 + - Science
- 0.006 + - Funny things
- 0.006 + - People
- 0.006 + - Commonplace book
- 0.006 + - Society
Negative matches
- 0.062 + - Deep learning
- 0.055 + - Deep generative models
- 0.040 + - Residual leanrning
- 0.036 + - Convolutional neural network
- 0.032 + - Meta learning
- 0.025 + - Paper/Vincent2010
- 0.025 + - Paper/Goodfellow2014
- 0.025 + - Paper/Bahdanau2015
- 0.022 + - Machine translation
- 0.018 + - Artificial neural network
- 0.018 + - Generative adversarial networks
- 0.016 + - Amazon Elastic Compute Cloud
- 0.015 + - Attention (Deep learning)
- 0.015 + - Dropout
- 0.013 + - Autoencoder
- 0.012 + - Generative adversarial network
- 0.011 + - Learning
- 0.010 + - Metaphor
- 0.010 + - Language detection
- 0.010 + - WALS