Towards Lifespan Automation for Caenorhabditis elegans Based on Deep Learning: Analysing Convolutional and Recurrent Neural Networks for Dead or Live Classification.
Antonio García GarvíJoan Carles PuchaltPablo E. Layana CastroFrancisco Navarro MoyaAntonio-José Sánchez-SalmerónPublished in: Sensors (2021)
Keyphrases
- deep learning
- recurrent neural networks
- restricted boltzmann machine
- unsupervised learning
- machine learning
- caenorhabditis elegans
- unsupervised feature learning
- feed forward
- neural network
- support vector
- feature vectors
- mental models
- pattern recognition
- echo state networks
- recurrent networks
- image classification
- artificial neural networks
- hidden layer
- feature extraction
- decision trees
- deep belief networks
- reinforcement learning
- text classification
- model selection
- multiscale
- automatic extraction
- higher order
- feature space