Solving Flatten Input Shape Errors - Latest Information & Updates 2026

Web Reference: May 18, 2021 · Use Keras.layers.Input() instead of Keras.layers.Flatten(). I tried keras.layers.Input (input_shape= (1,11)) but it gives me an error! It seems like your input shape is (num_inputs, 11) already so you don't need to flatten it. Taking out the Flatten layer should fix this. input_shape=(11) keras.layers.Dense(4, activation='relu', input_shape=(11)) Learn how to fix input shape errors with the `Flatten ()` layer in TensorFlow when building a Convolutional Neural Network. Optimize your model and speed up t... Note: If inputs are shaped (batch,) without a feature axis, then flattening adds an extra channel dimension and output shape is (batch, 1). A string, one of "channels_last" (default) or "channels_first".

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