Search "+Innovation -Paper -Paper/Graves2016DNC -Paper/Jara-Figueroa2015 +Home -Deep learning +Residual Learning +Learning +Research advices"

Positive matches

• 0.037 + - Convolutional neural network
• 0.030 + - How to study
• 0.028 + - Michael Ramscar
• 0.026 + - Machine learning
• 0.021 + - Residual leanrning
• 0.020 + - Interdisciplinary research
• 0.010 + - Creative work
• 0.010 + - Meme
• 0.010 + - Andreas Wagner
• 0.010 + - Diffusion of innovations
• 0.010 + - William Rosen
• 0.009 + - Science
• 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

Negative matches

• 0.033 + - Basic research
• 0.032 + - Innovation hot spots
• 0.022 + - Neural Turing machine
• 0.022 + - Alex Graves
• 0.022 + - DeepMind
• 0.021 + - Differentiable neural computers
• 0.015 + - Diversity
• 0.013 + - Natural language processing
• 0.009 + - Social media
• 0.007 + - Cecilia Mascolo
• 0.007 + - Reinforcement learning
• 0.006 + - Attention
• 0.006 + - Modeling animal behaviors with reinforcement learning
• 0.006 + - Amazon EC2
• 0.006 + - Attention (Deep learning)
• 0.005 + - Theano
• 0.005 + - LSTM
• 0.004 + - Paper/Graves2014NTM
• 0.004 + - Cheese
• 0.004 + - Meta learning