![]() ![]() Train network using model function and custom trainingįor networks that cannot be created using layer graphs, youĬan define a custom network as a function. To learn, more see Define Custom Training Loops, Loss Functions, and Networks. With a custom learning rate schedule, see Train Network Using Custom Training Loop. A dlnetwork object allows you to train a network specified as a layer graphįor loss functions that cannot be specified usingĪn output layer, you can specify the loss in a custom trainingįor an example showing how to train a network (for example, a custom learning rate schedule), then you can define your own custom training If the trainingOptions function does not provide the options you need for your task Train network using dlnetwork object and customįor most tasks, you can control the training algorithm details using the trainingOptions and trainNetwork functions. See Create Simple Deep Learning Network for Classification. For an example showing how to train a network from scratch, Network (transfer learning), see Train Deep Learning Network to Classify New Images. If you have a network specified as a layer array or layerįunction provides all the options you need, then you can train You can make predictions with the network directly by using the ![]() Require, then you do not need to retrain the network. If a pretrained network already performs the task you ![]()
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