| protected function _call($name, $p, $type) { | |
| $ret = null; | |
| if(isset($this->_obj->methods[$name][$type])) { | |
| foreach($this->_obj->methods[$name][$type] as $extend) { | |
| if(is_array($extend) && isset($extend['class'])) { | |
| $obj = $this->_getobj($extend['class'], $this->_obj); | |
| switch (count($p)) { | |
| case 0: $ret = $obj->{$extend['method']}();break; | |
| case 1: $ret = $obj->{$extend['method']}($p[0]);break; | |
| //lance: for executing the methods. |
| // Use Gists to store code you would like to remember later on | |
| console.log(window); // log the "window" object to the console |
##VGG16 model for Keras
This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman