python - Is tf.layers.dense a single layer? -


if use single layer this:

layer = tf.layers.dense(tf_x, 1, tf.nn.relu)

is single layer single node?

or set of layers (input, hidden, output) 1 node? network seemed work 1 layer, curious setup.

consequently, setup below have 2 hidden layers (are layer1 , layer2 here both hidden layers)? or 1 (just layer 1)?

layer1 = tf.layers.dense(tf_x, 10, tf.nn.relu) layer2 = tf.layers.dense(layer1, 1, tf.nn.relu)

tf_x input features tensor.

tf.layers.dense adds single layer network. second argument number of neurons/nodes of layer. example:

# no hidden layers, dimension output layer = 1 output = tf.layers.dense(tf_x, 1, tf.nn.relu)  # 1 hidden layer, dimension hidden layer = 10,  dimension output layer = 1 hidden = tf.layers.dense(tf_x, 10, tf.nn.relu) output = tf.layers.dense(hidden, 1, tf.nn.relu)

my network seemed work 1 layer, curious setup.

that possible, tasks decent results without hidden layers.


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