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Python 2022-03-27 14:10:11
keras preprocess_input
from tensorflow.keras.applications.resnet50 import ResNet50 from tensorflow.keras.preprocessing import image from tensorflow.keras.applications.resnet50 import preprocess_input, decode_predictions import numpy as np model = ResNet50(weights='imagenet') ... Add solution -
Python 2022-03-02 14:10:28
how to create a custom callback function in keras while training the model
class myCallback(tf.keras.callbacks.Callback): def on_epoch_end(self, epoch, logs={}): if(logs.get('acc')>0.99): print("\nReached 99% accuracy so cancelling training!",epoch) self.model.stop_training = True callback=myCallba... Add solution -
Other 2022-02-18 13:50:07
residual block keras
from keras import layers def residual_block(y, nb_channels, _strides=(1, 1), _project_shortcut=False): shortcut = y # down-sampling is performed with a stride of 2 y = layers.Conv2D(nb_channels, kernel_size=(3, 3), strides=_strides, padding... Add solution -
Python 2022-02-18 03:05:07
cannot create group in read-only mode. keras
from keras.models import load_model from keras.models import model_from_json import json with open('model_in_json.json','r') as f: model_json = json.load(f) model = model_from_json(model_json) model.load_weights('model_weights.h5') Add solution -
Python 2022-02-13 15:05:22
plot neural network keras
from keras.models import Sequential from keras.layers import Dense from keras.utils.vis_utils import plot_model model = Sequential() model.add(Dense(2, input_dim=1, activation='relu')) model.add(Dense(1, activation='sigmoid')) plot_model(model, to_file='m... Add solution -
Python 2022-02-06 13:25:02
keras backend matrix multiplication
import keras.backend as K import numpy as np A = np.random.rand(10,500) B = np.random.rand(500,6000) x = K.variable(value=A) y = K.variable(value=B) z = K.dot(x,y) # Here you need to use K.eval() instead of z.eval() because this uses the backend sessio... Add solution