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fourteen hidden nodes vs twenty hidden nodes

Both phrases are correct, but they refer to different quantities of hidden nodes. 'Fourteen hidden nodes' indicates the presence of 14 hidden nodes, while 'twenty hidden nodes' indicates the presence of 20 hidden nodes. The choice between the two depends on the specific number of hidden nodes you want to refer to.

Last updated: March 17, 2024 • 449 views

fourteen hidden nodes

This phrase is correct and commonly used in the context of neural networks or machine learning to refer to the presence of 14 hidden nodes.

This phrase is used to specify the quantity of hidden nodes in a neural network or machine learning model. It is clear and specific in indicating the number of nodes.

Examples:

  • The neural network architecture consists of fourteen hidden nodes.
  • The model was trained with fourteen hidden nodes for optimal performance.
  • Jul 10, 2006 ... puts, fourteen hidden nodes, one output, and were trained with a learning rate of 0.001 and a momentum rate of 0.5. Accu- racy during training ...
  • networks with six inputs, fourteen hidden nodes, and one output. The inputs correspond to six features that describe each collision: 1) the mass of the system of ...
  • May 13, 2009 ... For top quark mass measurement, we use networks with six inputs, fourteen hidden nodes, and one output. These networks are fully connected ...
  • Feb 25, 2010 ... C3 Test PM10 Forecasting model with fourteen hidden nodes. 126. C4 Test PM10 Forecasting with model thirteen hidden nodes. 128.

Alternatives:

  • a network with fourteen hidden nodes
  • fourteen nodes hidden in the network
  • a model with fourteen hidden nodes
  • a setup with fourteen hidden nodes
  • a configuration with fourteen hidden nodes

twenty hidden nodes

This phrase is correct and commonly used in the context of neural networks or machine learning to refer to the presence of 20 hidden nodes.

This phrase is used to specify the quantity of hidden nodes in a neural network or machine learning model. It is clear and specific in indicating the number of nodes.

Examples:

  • The neural network architecture consists of twenty hidden nodes.
  • The model was trained with twenty hidden nodes for optimal performance.
  • fourteenth trial when there was twenty hidden nodes in the single hidden layer with a sigmoid transfer function. For the remaining twelve model trails the RMS ...
  • and then connected recurrently for signal synthesis. We evaluate the performance of a network with twenty hidden nodes, using the. Mackey-Glass chaotic time ...
  • The authors evaluate the performance of a network with twenty hidden nodes, using the Mackey-Glass (1977) chaotic time series as a training signal, and then  ...
  • Oct 5, 2004 ... nodes (i.e., twenty hidden nodes and one bias node from first hidden layer), two hidden layers each having twenty hidden nodes and one bias ...

Alternatives:

  • a network with twenty hidden nodes
  • twenty nodes hidden in the network
  • a model with twenty hidden nodes
  • a setup with twenty hidden nodes
  • a configuration with twenty hidden nodes

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