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[
{
"name": "mixed4a",
"modules": [
{
"name": "fluffies",
"neurons": [
504,
470,
170,
[{"name":"mixed3b","modules":[{"name":"Curves","neurons":[359,379,385,343,330,340,388,342]},{"name":"Spirals","neurons":[347,327]},{"name":"Hatches","neurons":[429,68,125]}]},{"name":"mixed4a","modules":[{"name":"Circles","neurons":[494,186]},{"name":"Crosses & Spirals","neurons":[397,28,474,493]}]},{"name":"mixed4b","modules":[{"name":"Tires","neurons":[209,373,179,100,217]},{"name":"Curved Objects","neurons":[360,161]}]},{"name":"mixed4c","modules":[{"name":"Wheels","neurons":[449]},{"name":"Car","neurons":[447]}]}]
import scipy.ndimage as nd
from scipy.ndimage import gaussian_filter
import lucid.optvis.transform as transform
def mean_alpha():
def inner(T):
input_t = T("input")
return 1.0 - tf.reduce_mean(input_t[..., 3:])
return objectives.Objective(inner)
[
{
"name": "mixed3b",
"modules": [
{
"name": "Oriented Fur",
"neurons": [
404
]
}
[
{
"name": "conv2d2",
"modules": [{ "name": "Edges", "neurons": [9, 100, 113] }]
},
{
"name": "mixed3a",
"modules": [
{ "name": "Triangles", "neurons": [188, 94, 164] },
{ "name": "Square", "neurons": [107] }
[
{
"name": "mixed3a",
"modules": [
{ "name": "Triangles", "neurons": [188, 94, 164] },
{ "name": "Square", "neurons": [107] }
]
},
{
"name": "mixed3b",
[
{
name: 'mixed3a',
modules: [
{
name: 'Triangles',
neurons: [
188,
94,
164
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[
{
"name": "mixed4b",
"modules": [
{
"name": "Car Parts",
"neurons": [237, 373, 491]
}
]
},
[
{
"x": 1458,
"value": [
500,
14.759843563053366
]
},
{
"x": 1459,