I have dataset 9 columns. Column 1-8 is feature, column 9 is class of dataset. I use CNN to classify like this code.
model = Sequential()
model.add(Conv1D(64, 2, activation="relu", input_shape=(8,1)))
model.add(Flatten())
model.add(Dense(1, activation='sigmoid'))
model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])
model.fit(X, y, epochs=150, batch_size=10)
It show error like this.
ValueError: Input 0 of layer conv1d_13 is incompatible with the layer: : expected min_ndim=3, found ndim=2. Full shape received: (None, 8)
How to fix it?
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