deepDreamImage
Visualize network features using deep dream
Description
Examples
Input Arguments
Output Arguments
Algorithms
This function implements a version of deep dream that uses a multi-resolution image pyramid and Laplacian Pyramid Gradient Normalization to generate high-resolution images. For more information on Laplacian Pyramid Gradient Normalization, see this blog post:DeepDreaming with TensorFlow.
When you train a network using thetrainNetwork
function, or when you use prediction or validation functions withDAGNetwork
andSeriesNetwork
objects, the software performs these computations using single-precision, floating-point arithmetic. Functions for training, prediction, and validation includetrainNetwork
,predict
,classify
, andactivations
. The software uses single-precision arithmetic when you train networks using both CPUs and GPUs.
References
[1]DeepDreaming with TensorFlow. https://github.com/tensorflow/docs/blob/master/site/en/tutorials/generative/deepdream.ipynb