image_output_1.png
from tensorflow.keras.layers import Dense,Flatten

from tensorflow.keras.models import Sequential

from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Flatten
model = Sequential()
model.add(Flatten(input_shape=(64, 64, 3)))
model.add(Dense(40, activation='sigmoid'))
model.add(Dense(5, activation='relu'))
model.add(Dense(5, activation='softmax'))
model.summary()