Deep Learning for Plant Identification in Natural Environment
نویسندگان
چکیده
منابع مشابه
Deep Learning for Plant Identification in Natural Environment
Plant image identification has become an interdisciplinary focus in both botanical taxonomy and computer vision. The first plant image dataset collected by mobile phone in natural scene is presented, which contains 10,000 images of 100 ornamental plant species in Beijing Forestry University campus. A 26-layer deep learning model consisting of 8 residual building blocks is designed for large-sca...
متن کاملDeep Learning for Natural Language Processing
Deep learning has emerged as a new area of machine learning research. It tries to mimic the human brain, which is capable of processing and learning from the complex input data and solving different kinds of complicated tasks well. It has been successfully applied to several fields such as images, sounds, text and motion. The techniques developed from deep learning research have already been im...
متن کاملA Modular Deep-learning Environment for Rogue
Rogue is a famous dungeon-crawling video-game of the 80ies, the ancestor of its gender. Due to their nature, and in particular to the necessity to explore partially observable and always different labyrinths (no level replay), roguelike games are a very natural and challenging task for reinforcement learning and Q-learning, requiring the acquisition of complex, non-reactive behaviours involving...
متن کاملNatural Gradient Deep Q-learning
This paper presents findings for training a Q-learning reinforcement learning agent using natural gradient techniques. We compare the original deep Q-network (DQN) algorithm to its natural gradient counterpart (NGDQN), measuring NGDQN and DQN performance on classic controls environments without target networks. We find that NGDQN performs favorably relative to DQN, converging to significantly b...
متن کاملDeep Learning and Virtual Environment
While computers are known to facilitate lower levels of learning, such as rote memorization of facts, measurable through electronically administered and graded multiple-choice questions, yes/no, and true/false answers, the imparting and measurement of higher-level cognitive skills is more vexing. These require more open-ended delivery and answers, and may be more problematic in an entirely virt...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computational Intelligence and Neuroscience
سال: 2017
ISSN: 1687-5265,1687-5273
DOI: 10.1155/2017/7361042