text_html_output_1.png
from keras.layers import Dense, Dropout, Flatten , Conv2D , MaxPool2D

from keras.models import Sequential

input_shape = (75, 100, 3)
num_classes = 7
model = Sequential()
model.add(Flatten(input_shape=input_shape))
model.add(Dense(512, activation='relu'))
model.add(Dense(256, activation='relu'))
model.add(Dense(128, activation='relu'))
model.add(Dense(128, activation='relu'))
model.add(Dense(64, activation='relu'))
model.add(Dense(num_classes, activation='softmax'))
model.summary()