Related references
Note: Only part of the references are listed.Dermatologist-level classification of skin cancer with deep neural networks
Andre Esteva et al.
NATURE (2017)
Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks
Jordan R. Ubbens et al.
FRONTIERS IN PLANT SCIENCE (2017)
Deep Learning for Flow Sculpting: Insights into Efficient Learning using Scientific Simulation Data
Daniel Stoecklein et al.
SCIENTIFIC REPORTS (2017)
Can we open the black box of AI?
Davide Castelvecchi
NATURE (2016)
Mastering the game of Go with deep neural networks and tree search
David Silver et al.
NATURE (2016)
Using goal-driven deep learning models to understand sensory cortex
Daniel L. K. Yamins et al.
NATURE NEUROSCIENCE (2016)
Machine Learning for High-Throughput Stress Phenotyping in Plants
Arti Singh et al.
TRENDS IN PLANT SCIENCE (2016)
Using Deep Learning for Image-Based Plant Disease Detection
Sharada P. Mohanty et al.
FRONTIERS IN PLANT SCIENCE (2016)
Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification
Srdjan Sladojevic et al.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2016)
Human-level control through deep reinforcement learning
Volodymyr Mnih et al.
NATURE (2015)
Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
Babak Alipanahi et al.
NATURE BIOTECHNOLOGY (2015)
Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging
C. H. Bock et al.
CRITICAL REVIEWS IN PLANT SCIENCES (2010)