CNN Image Classifier
A convolutional pipeline — an image through stacked conv layers and pooling, flattened into a dense network and a softmax over classes.
Rendering…
Make it your own.
{
"nodes": [
{ "id":"img", "type":"rounded", "label":"Image", "x":60, "y":180, "fill":"#dbeafe" },
{ "id":"conv", "type":"layers", "label":"Conv ×3", "x":260, "y":160, "fill":"#bbf7d0" },
{ "id":"pool", "type":"funnel", "label":"Max-pool", "x":470, "y":170, "fill":"#fed7aa" },
{ "id":"dense", "type":"neural-net", "label":"Dense", "x":660, "y":150, "fill":"#ede9fe" },
{ "id":"soft", "type":"donut-3d", "label":"Softmax", "x":880, "y":160, "fill":"#dbeafe" },
{ "id":"cls", "type":"rounded", "label":"Class", "x":1080, "y":170, "fill":"#dcfce7" }
],
"edges": [
{ "id":"e1","source":"img","target":"conv","label":"3×3 kernels" },
{ "id":"e2","source":"conv","target":"pool","label":"feature maps" },
{ "id":"e3","source":"pool","target":"dense","label":"flatten" },
{ "id":"e4","source":"dense","target":"soft","label":"logits" },
{ "id":"e5","source":"soft","target":"cls","label":"argmax" }
]
}