Image input layer
An image input layer inputs 2-D images to a network and applies data normalization.
For 3-D image input, use image3dInputLayer
.
returns an image input layer and specifies the layer
= imageInputLayer(inputSize
)InputSize
property.
sets the optional properties using name-value pairs. You can specify multiple
name-value pairs. Enclose each property name in single quotes.layer
= imageInputLayer(inputSize
,Name,Value
)
[1] Krizhevsky, A., I. Sutskever, and G. E. Hinton. "ImageNet Classification with Deep Convolutional Neural Networks". Advances in Neural Information Processing Systems. Vol 25, 2012.
[2] Cireşan, D., U. Meier, J. Schmidhuber. "Multi-column Deep Neural Networks for Image Classification". IEEE Conference on Computer Vision and Pattern Recognition, 2012.
augmentedImageDatastore
| convolution2dLayer
| Deep Network
Designer | featureInputLayer
| fullyConnectedLayer
| image3dInputLayer
| maxPooling2dLayer
| trainNetwork