Search "+Food -Beer -Cinder toffee +Residual Learning +Flavor -Wine pairing +TensorFlow +Deep learning -Long short-term memory"

Positive matches

• 0.061 + - Residual leanrning
• 0.052 + - Olfaction
• 0.041 + - Social media
• 0.033 + - Convolutional neural network
• 0.029 + - word2vec
• 0.021 + - Odor
• 0.020 + - Keras
• 0.018 + - Artificial neural network
• 0.015 + - Meta learning
• 0.013 + - Word embedding
• 0.012 + - Neural doodle
• 0.010 + - Reinforcement learning
• 0.010 + - Machine translation
• 0.009 + - Amazon EC2
• 0.009 + - Amazon Elastic Compute Cloud
• 0.009 + - Dropout
• 0.008 + - Stretching
• 0.008 + - Music
• 0.007 + - Deep generative models
• 0.007 + - Generative adversarial networks

Negative matches

• 0.082 + - Andy Connelly
• 0.080 + - Food choice
• 0.063 + - Food pairing
• 0.029 + - RNN
• 0.028 + - Trappist beer
• 0.026 + - Bread
• 0.024 + - Cheese
• 0.015 + - Restaurants
• 0.014 + - Paper/Cooijmans2016
• 0.013 + - Computational creativity
• 0.011 + - Catching Fire: How Cooking Made Us Human
• 0.011 + - Calorie
• 0.007 + - Cake
• 0.007 + - Musical composition
• 0.005 + - Neural network
• 0.004 + - Recurrent neural network
• 0.003 + - Health
• 0.003 + - Biomedical natural language processing
• 0.003 + - NLP
• 0.003 + - spaCy