map.put("Stride", Arrays.toString(layer1.getStride())); map.put("Padding", Arrays.toString(layer1.getPadding())); map.put("Pooling Type", layer1.getPoolingType().toString()); } else if (layer instanceof BaseOutputLayer) { BaseOutputLayer ol = (BaseOutputLayer) layer;
map.put("Stride", Arrays.toString(layer1.getStride())); map.put("Padding", Arrays.toString(layer1.getPadding())); map.put("Pooling Type", layer1.getPoolingType().toString()); } else if (layer instanceof BaseOutputLayer) { BaseOutputLayer ol = (BaseOutputLayer) layer;
map.put("Stride", Arrays.toString(layer1.getStride())); map.put("Padding", Arrays.toString(layer1.getPadding())); map.put("Pooling Type", layer1.getPoolingType().toString()); } else if (layer instanceof BaseOutputLayer) { BaseOutputLayer ol = (BaseOutputLayer) layer;
fullLine.append("Stride: ").append(Arrays.toString(layer1.getStride())).append("<br/>"); fullLine.append("Padding: ").append(Arrays.toString(layer1.getPadding())).append("<br/>"); fullLine.append("Pooling type: ").append(layer1.getPoolingType().toString()).append("<br/>"); } else if (layer.conf().getLayer() instanceof FeedForwardLayer) { org.deeplearning4j.nn.conf.layers.FeedForwardLayer layer1 =
fullLine.append("Stride: ").append(Arrays.toString(layer1.getStride())).append("<br/>"); fullLine.append("Padding: ").append(Arrays.toString(layer1.getPadding())).append("<br/>"); fullLine.append("Pooling type: ").append(layer1.getPoolingType().toString()).append("<br/>"); } else if (layer.conf().getLayer() instanceof FeedForwardLayer) { org.deeplearning4j.nn.conf.layers.FeedForwardLayer layer1 =
layerInfoRows.add(new String[] { i18N.getMessage("train.model.layerinfotable.layerSubsamplingPoolingType"), ssl.getPoolingType().toString()});
layerInfoRows.add(new String[] { i18N.getMessage("train.model.layerinfotable.layerSubsamplingPoolingType"), ssl.getPoolingType().toString()});
layerInfoRows.add(new String[] { i18N.getMessage("train.model.layerinfotable.layerSubsamplingPoolingType"), ssl.getPoolingType().toString()});