The output of my model is (None, 2) and I need it to be (None, 2, 14). With the following model, what should I change to get the desired output shape?
model = Sequential()
model.add(Dense(32, activation='relu', input_shape=(211,)))
model.add(Dropout(0.25))
model.add(Dense(32, activation='relu'))
model.add(Dense(2,activation='softmax'))
>Solution :
How about instead two neurons in the last layer use 28 neurons then use tf.keras.layer.Reshape() to reshape (28,) to (2, 14) and get what you want:
import tensorflow as tf
model = tf.keras.Sequential()
model.add(tf.keras.layers.Dense(32, activation='relu', input_shape=(211,)))
model.add(tf.keras.layers.Dropout(0.25))
model.add(tf.keras.layers.Dense(32, activation='relu'))
model.add(tf.keras.layers.Dense(28,activation='softmax'))
model.add(tf.keras.layers.Reshape((2,14)))
model.summary()
Output:
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 32) 6784
dropout (Dropout) (None, 32) 0
dense_1 (Dense) (None, 32) 1056
dense_2 (Dense) (None, 28) 924
reshape (Reshape) (None, 2, 14) 0
=================================================================
Total params: 8,764
Trainable params: 8,764
Non-trainable params: 0
_________________________________________________________________