Search "+Food -Beer +Chinese cuisine +Cinder toffee -Bun -Andrew Ng +Yoshua Bengio -Generative adversarial networks -Dumpling"

Positive matches

• 0.033 + - Social media
• 0.030 + - Dim sum
• 0.029 + - Andy Connelly
• 0.028 + - Paper/Bahdanau2015
• 0.025 + - Paper/Vincent2010
• 0.021 + - Odor
• 0.020 + - Food pairing
• 0.018 + - Calorie
• 0.018 + - Restaurants
• 0.017 + - Attention (Deep learning)
• 0.014 + - Wine pairing
• 0.012 + - Catching Fire: How Cooking Made Us Human
• 0.011 + - Stretching
• 0.010 + - Music
• 0.010 + - Food choice
• 0.008 + - Public datasets
• 0.006 + - Olfaction
• 0.006 + - Paper/Goodfellow2014
• 0.005 + - Whiskey
• 0.005 + - Recurrent neural network

Negative matches

• 0.075 + - Deep learning
• 0.058 + - Machine learning
• 0.027 + - Trappist beer
• 0.022 + - Image completion
• 0.018 + - Cheese
• 0.016 + - Generative adversarial network
• 0.013 + - Bread
• 0.009 + - Autoencoder
• 0.006 + - Meta learning
• 0.006 + - Differentiable neural computers
• 0.005 + - Thermostat
• 0.005 + - Deep learning and graphs
• 0.005 + - Machine translation
• 0.004 + - Neural doodle
• 0.004 + - Convolutional neural network
• 0.004 + - TensorFlow
• 0.004 + - Geoffrey Hinton
• 0.004 + - Artificial neural network
• 0.003 + - Learning
• 0.003 + - Deep generative models