Lines Matching full:neural

6 PyTorch uses modules to represent neural networks. Modules are:
10   easy construction of elaborate, multi-layer neural networks.
77 :ref:`Neural Network Training with Modules`.
125 For example, here's a simple neural network implemented as a custom module:
143 the neural network and are utilized for computation within the module's ``forward()`` method. Immed…
278 These examples show how elaborate neural networks can be formed through module composition and conv…
279 manipulated. To allow for quick and easy construction of neural networks with minimal boilerplate, …
280 …large library of performant modules within the :mod:`torch.nn` namespace that perform common neural
283 In the next section, we give a full example of training a neural network.
288 * Defining neural net modules: https://pytorch.org/tutorials/beginner/examples_nn/polynomial_module…
292 Neural Network Training with Modules
378 Training neural networks can often be tricky. For more information, check out:
381 * Neural network training: https://pytorch.org/tutorials/beginner/blitz/neural_networks_tutorial.ht…
590 In :ref:`Neural Network Training with Modules`, we demonstrated the training process for a module, …