Keras functional APIs provide each layer as a function.
- To use the functional APIs, you need to import the following classes from the
keras
package:
from keras.layers.core import dense, Activation
- Let's use the preceding imported layers as part of the
Sequential
model:
from keras.models import Sequential from keras.layers.core import dense, Activation model = Sequential([ dense(32, input_dim=784), Activation("sigmoid"), dense(10), Activation("softmax"), ]) model.compile(loss="categorical_crossentropy", optimizer="adam")
from keras.utils import plot_model from keras.layers import Flatten from keras.models import Sequential from keras.layers.core import Dense, Activation from keras.datasets import mnist import keras num_classes = 10 batch_size = 32 epochs = 10 batch_size = 128 num_classes = 10 epochs = 12 # input image dimensions img_rows, img_cols = 28, 28 # the data, split between train...