Effects of Varying CNN Parameters
{"Image DocumentName": "Effects of Varying CNN Parameters", "Image ImageDescription": "Phone Error Rate (PER in %) LWS yields better performance with bigger pooling sizes. Overlapping pooling windows do not produce a clear performance gain. \u4e0a\u5716. all con\ufb01gurations yield better performance with increasing pooling size up to 6. LWS yields better performance with bigger pooling sizes. \u4e0a+\u4e0b\u5716. overlapping pooling windows do not produce a clear performance gain, and that using the same value for both the pooling size and the shift size produces a similar performance while decreasing the model complexity. Convolutional Neural Networks For Speech Recognition | Page. 1.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}