Hyper-parameter optimization of Deep Convolutional Networks for object recognition.
Sachin S. TalathiPublished in: CoRR (2015)
Keyphrases
- object recognition
- hyperparameters
- computer vision
- deep learning
- closed form
- model selection
- cross validation
- data sets
- unsupervised learning
- bayesian inference
- bayesian framework
- natural images
- support vector
- probabilistic model
- parameter settings
- random sampling
- unsupervised feature learning
- higher order
- pairwise
- maximum a posteriori
- data streams
- learning environment
- objective function
- deep belief networks