from keras.models import Sequential from keras.layers import Dense model = Sequential([ Dense(64, input_shape=(784,), activation='relu'), Dense(10, activation='softmax') ]) model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])
from keras.models import Sequential from keras.layers import Conv2D, MaxPooling2D, Flatten, Dense model = Sequential([ Conv2D(32, kernel_size=(3, 3), input_shape=(28, 28, 1), activation='relu'), MaxPooling2D(pool_size=(2, 2)), Flatten(), Dense(10, activation='softmax') ]) model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])Package Library: Keras