RaphaelMeudec

@tf.RegisterGradient("GuidedRelu")
def _GuidedReluGrad(op, grad):
    gate_f = tf.cast(op.outputs[0] > 0, "float32")  # Filter must be activated
    gate_R = tf.cast(grad > 0, "float32")  # Grads must be positive
    return gate_f * gate_R * grad

with tf.Graph().as_default() as g:
    model = tf.keras.applications.resnet50.ResNet50(weights='imagenet', include_top=True)

    with g.gradient_override_map({"Relu": "GuidedRelu"}):

RaphaelMeudec

import numpy as np
import tensorflow as tf

# Create function to apply a grey patch on an image
def apply_grey_patch(image, top_left_x, top_left_y, patch_size):
    patched_image = np.array(image, copy=True)
    patched_image[top_left_y:top_left_y + patch_size, top_left_x:top_left_x + patch_size, :] = 127.5

    return patched_image

RaphaelMeudec

import numpy as np
import tensorflow as tf

# Layer name to inspect
layer_name = 'block3_conv1'

epochs = 100
step_size = 1.
filter_index = 0

RaphaelMeudec

import numpy as np
import tensorflow as tf

layers_name = ['activation_1']
IMAGE_PATH = './cat.jpg'

# Model to examine
model = tf.keras.applications.resnet50.ResNet50(weights='imagenet', include_top=True)

# Image to pass as input

RaphaelMeudec

import logging

import cv2
import numpy as np
import vlogging

logger = logging.getLogger("demo")
fh = logging.FileHandler('test.html', mode="w")

logger.setLevel(logging.DEBUG)

RaphaelMeudec

// Add replaceAll method to string to remove new line
String.prototype.replaceAll = function(search, replacement) {
    var target = this;
    return target.replace(new RegExp(search, 'g'), replacement);
};

// Add a console.save function
(function(console){
    console.save = function(data, filename){
        if(!data) {