Final answer:
False. Deep neural networks can have multiple hidden layers, but typically have only one input layer.
Step-by-step explanation:
Deep neural networks can have multiple hidden layers, not just one. The number of hidden layers can vary depending on the complexity of the problem being solved. In fact, the term "deep" in deep neural networks refers to the presence of multiple hidden layers.
On the other hand, deep neural networks typically have only one input layer, which is responsible for receiving input data that is then processed through the hidden layers and the output layer.