The model that can classify 104+ unidentifiable flowers

model.json

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\"name\": \"block1_conv1\", \"inbound_nodes\": [[[\"input_1\", 0, 0, {}]]]}, {\"class_name\": \"Conv2D\", \"config\": {\"name\": \"block1_conv2\", \"trainable\": false, \"dtype\": \"float32\", \"filters\": 64, \"kernel_size\": [3, 3], \"strides\": [1, 1], \"padding\": \"same\", \"data_format\": \"channels_last\", \"dilation_rate\": [1, 1], \"activation\": \"relu\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"GlorotUniform\", \"config\": {\"seed\": null}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}, \"name\": \"block1_conv2\", \"inbound_nodes\": [[[\"block1_conv1\", 0, 0, {}]]]}, {\"class_name\": \"MaxPooling2D\", \"config\": {\"name\": \"block1_pool\", \"trainable\": false, \"dtype\": \"float32\", \"pool_size\": [2, 2], \"padding\": \"valid\", \"strides\": [2, 2], \"data_format\": \"channels_last\"}, \"name\": \"block1_pool\", \"inbound_nodes\": [[[\"block1_conv2\", 0, 0, {}]]]}, {\"class_name\": \"Conv2D\", \"config\": {\"name\": \"block2_conv1\", \"trainable\": false, \"dtype\": \"float32\", \"filters\": 128, \"kernel_size\": [3, 3], \"strides\": [1, 1], \"padding\": \"same\", \"data_format\": \"channels_last\", \"dilation_rate\": [1, 1], \"activation\": \"relu\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"GlorotUniform\", \"config\": {\"seed\": null}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}, \"name\": \"block2_conv1\", \"inbound_nodes\": [[[\"block1_pool\", 0, 0, {}]]]}, {\"class_name\": \"Conv2D\", \"config\": {\"name\": \"block2_conv2\", \"trainable\": false, \"dtype\": \"float32\", \"filters\": 128, \"kernel_size\": [3, 3], \"strides\": [1, 1], \"padding\": \"same\", \"data_format\": \"channels_last\", \"dilation_rate\": [1, 1], \"activation\": \"relu\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"GlorotUniform\", \"config\": {\"seed\": null}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}, \"name\": \"block2_conv2\", \"inbound_nodes\": [[[\"block2_conv1\", 0, 0, {}]]]}, {\"class_name\": \"MaxPooling2D\", \"config\": {\"name\": \"block2_pool\", \"trainable\": false, \"dtype\": \"float32\", \"pool_size\": [2, 2], \"padding\": \"valid\", \"strides\": [2, 2], \"data_format\": \"channels_last\"}, \"name\": \"block2_pool\", \"inbound_nodes\": [[[\"block2_conv2\", 0, 0, {}]]]}, {\"class_name\": \"Conv2D\", \"config\": {\"name\": \"block3_conv1\", \"trainable\": false, \"dtype\": \"float32\", \"filters\": 256, \"kernel_size\": [3, 3], \"strides\": [1, 1], \"padding\": \"same\", \"data_format\": \"channels_last\", \"dilation_rate\": [1, 1], \"activation\": \"relu\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"GlorotUniform\", \"config\": {\"seed\": null}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}, \"name\": \"block3_conv1\", \"inbound_nodes\": [[[\"block2_pool\", 0, 0, {}]]]}, {\"class_name\": \"Conv2D\", \"config\": {\"name\": \"block3_conv2\", \"trainable\": false, \"dtype\": \"float32\", \"filters\": 256, \"kernel_size\": [3, 3], \"strides\": [1, 1], \"padding\": \"same\", \"data_format\": \"channels_last\", \"dilation_rate\": [1, 1], \"activation\": \"relu\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"GlorotUniform\", \"config\": {\"seed\": null}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}, \"name\": \"block3_conv2\", \"inbound_nodes\": [[[\"block3_conv1\", 0, 0, {}]]]}, {\"class_name\": \"Conv2D\", \"config\": {\"name\": \"block3_conv3\", \"trainable\": false, \"dtype\": \"float32\", \"filters\": 256, \"kernel_size\": [3, 3], \"strides\": [1, 1], \"padding\": \"same\", \"data_format\": \"channels_last\", \"dilation_rate\": [1, 1], \"activation\": \"relu\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"GlorotUniform\", \"config\": {\"seed\": null}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}, \"name\": \"block3_conv3\", \"inbound_nodes\": [[[\"block3_conv2\", 0, 0, {}]]]}, {\"class_name\": \"MaxPooling2D\", \"config\": {\"name\": \"block3_pool\", \"trainable\": false, \"dtype\": \"float32\", \"pool_size\": [2, 2], \"padding\": \"valid\", \"strides\": [2, 2], \"data_format\": \"channels_last\"}, \"name\": \"block3_pool\", \"inbound_nodes\": [[[\"block3_conv3\", 0, 0, {}]]]}, {\"class_name\": \"Conv2D\", \"config\": {\"name\": \"block4_conv1\", \"trainable\": false, \"dtype\": \"float32\", \"filters\": 512, \"kernel_size\": [3, 3], \"strides\": [1, 1], \"padding\": \"same\", \"data_format\": \"channels_last\", \"dilation_rate\": [1, 1], \"activation\": \"relu\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"GlorotUniform\", \"config\": {\"seed\": null}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}, \"name\": \"block4_conv1\", \"inbound_nodes\": [[[\"block3_pool\", 0, 0, {}]]]}, {\"class_name\": \"Conv2D\", \"config\": {\"name\": \"block4_conv2\", \"trainable\": false, \"dtype\": \"float32\", \"filters\": 512, \"kernel_size\": [3, 3], \"strides\": [1, 1], \"padding\": \"same\", \"data_format\": \"channels_last\", \"dilation_rate\": [1, 1], \"activation\": \"relu\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"GlorotUniform\", \"config\": {\"seed\": null}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}, \"name\": \"block4_conv2\", \"inbound_nodes\": [[[\"block4_conv1\", 0, 0, {}]]]}, {\"class_name\": \"Conv2D\", \"config\": {\"name\": \"block4_conv3\", \"trainable\": false, \"dtype\": \"float32\", \"filters\": 512, \"kernel_size\": [3, 3], \"strides\": [1, 1], \"padding\": \"same\", \"data_format\": \"channels_last\", \"dilation_rate\": [1, 1], \"activation\": \"relu\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"GlorotUniform\", \"config\": {\"seed\": null}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}, \"name\": \"block4_conv3\", \"inbound_nodes\": [[[\"block4_conv2\", 0, 0, {}]]]}, {\"class_name\": \"MaxPooling2D\", \"config\": {\"name\": \"block4_pool\", \"trainable\": false, \"dtype\": \"float32\", \"pool_size\": [2, 2], \"padding\": \"valid\", \"strides\": [2, 2], \"data_format\": \"channels_last\"}, \"name\": \"block4_pool\", \"inbound_nodes\": [[[\"block4_conv3\", 0, 0, {}]]]}, {\"class_name\": \"Conv2D\", \"config\": {\"name\": \"block5_conv1\", \"trainable\": false, \"dtype\": \"float32\", \"filters\": 512, \"kernel_size\": [3, 3], \"strides\": [1, 1], \"padding\": \"same\", \"data_format\": \"channels_last\", \"dilation_rate\": [1, 1], \"activation\": \"relu\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"GlorotUniform\", \"config\": {\"seed\": null}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}, \"name\": \"block5_conv1\", \"inbound_nodes\": [[[\"block4_pool\", 0, 0, {}]]]}, {\"class_name\": \"Conv2D\", \"config\": {\"name\": \"block5_conv2\", \"trainable\": false, \"dtype\": \"float32\", \"filters\": 512, \"kernel_size\": [3, 3], \"strides\": [1, 1], \"padding\": \"same\", \"data_format\": \"channels_last\", \"dilation_rate\": [1, 1], \"activation\": \"relu\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"GlorotUniform\", \"config\": {\"seed\": null}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}, \"name\": \"block5_conv2\", \"inbound_nodes\": [[[\"block5_conv1\", 0, 0, {}]]]}, {\"class_name\": \"Conv2D\", \"config\": {\"name\": \"block5_conv3\", \"trainable\": false, \"dtype\": \"float32\", \"filters\": 512, \"kernel_size\": [3, 3], \"strides\": [1, 1], \"padding\": \"same\", \"data_format\": \"channels_last\", \"dilation_rate\": [1, 1], \"activation\": \"relu\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"GlorotUniform\", \"config\": {\"seed\": null}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}, \"name\": \"block5_conv3\", \"inbound_nodes\": [[[\"block5_conv2\", 0, 0, {}]]]}, {\"class_name\": \"MaxPooling2D\", \"config\": {\"name\": \"block5_pool\", \"trainable\": false, \"dtype\": \"float32\", \"pool_size\": [2, 2], \"padding\": \"valid\", \"strides\": [2, 2], \"data_format\": \"channels_last\"}, \"name\": \"block5_pool\", 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