sample code above
my ppt notes below
Week 6 deep learning Notes.pptx
from tensorflow.keras.models import Sequential
from tensorflow.keras import layers
model = Sequential([
layers.Flatten(input_shape=(28, 28)), # 將輸入資料從 28x28 攤平成 784
layers.Dense(256, activation='relu'),
layers.Dense(128, activation='relu'),
layers.Dense(64, activation='relu'),
layers.Dense(10, activation='softmax') # output 為 10 個 class
])
print(model.summary())
784*256+256=200960
256*128+128=32896
128*64+64=8256
64*10+10=650
Total sum = 242762
