Dense layer

Dense is the only actual network layer in that model.

A Dense layer feeds all outputs from the previous layer to all its neurons, each neuron providing one output to the next layer.

It's the most basic layer in neural networks.

A Dense(10) has ten neurons. A Dense(512) has 512 neurons.

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Sean Patrick Floyd 65 points

                                    &gt;&gt;&gt; # Create a `Sequential` model and add a Dense layer as the first layer.  
&gt;&gt;&gt; model = tf.keras.models.Sequential()
&gt;&gt;&gt; model.add(tf.keras.Input(shape=(16,)))
&gt;&gt;&gt; model.add(tf.keras.layers.Dense(32, activation='relu'))
&gt;&gt;&gt; # Now the model will take as input arrays of shape (None, 16)  
&gt;&gt;&gt; # and output arrays of shape (None, 32).  
&gt;&gt;&gt; # Note that after the first layer, you don't need to specify  
&gt;&gt;&gt; # the size of the input anymore:  
&gt;&gt;&gt; model.add(tf.keras.layers.Dense(32))
&gt;&gt;&gt; model.output_shape
(None, 32)

Thank you! 5

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