Search "+Innovation -Paper -Paper/Graves2016DNC -Paper/Jara-Figueroa2015 +Home -Deep learning +Residual Learning +Learning -Attention (Deep learning)"

Positive matches

• 0.034 + - Convolutional neural network
• 0.028 + - How to study
• 0.028 + - Michael Ramscar
• 0.027 + - Machine learning
• 0.016 + - Residual leanrning
• 0.010 + - Creative work
• 0.010 + - Meme
• 0.010 + - Andreas Wagner
• 0.010 + - Diffusion of innovations
• 0.010 + - William Rosen
• 0.010 + - Research advices
• 0.008 + - Paper/Iacopini2018
• 0.008 + - Paper/Tria2014novelties
• 0.007 + - Funny things
• 0.007 + - Music
• 0.007 + - Urban legend
• 0.007 + - People
• 0.007 + - Travel
• 0.007 + - Health
• 0.007 + - Notebook

Negative matches

• 0.035 + - Basic research
• 0.035 + - Attention
• 0.034 + - Innovation hot spots
• 0.029 + - Paper/Bahdanau2015
• 0.026 + - Recurrent neural network
• 0.023 + - Computational creativity
• 0.022 + - Neural Turing machine
• 0.022 + - Alex Graves
• 0.022 + - DeepMind
• 0.021 + - Natural language processing
• 0.021 + - Differentiable neural computers
• 0.019 + - RNN
• 0.012 + - Diversity
• 0.009 + - Musical composition
• 0.009 + - Amazon EC2
• 0.009 + - LSTM
• 0.008 + - Cecilia Mascolo
• 0.008 + - Social media
• 0.006 + - Long short-term memory
• 0.006 + - Evolution strategy