Benutzerdefinierte Trainingsschleifen
Anpassen von Deep-Learning-Trainingsschleifen und Verlustfunktionen für Sequenz- und Tabellendaten
Wenn die Funktion trainingOptions
nicht die Trainingsoptionen bietet, die Sie für Ihre Aufgabe benötigen, oder Sie eine Verlustfunktion haben, die von der trainnet
-Funktion nicht unterstützt wird, können Sie eine eigene Trainingsschleife definieren. Für Modelle, die nicht als Netz von Schichten angegeben werden können, können Sie das Modell als Funktion definieren. Weitere Informationen finden Sie unter Define Custom Training Loops, Loss Functions, and Networks.
Funktionen
Themen
Benutzerdefinierte Trainingsschleifen
- Train Deep Learning Model in MATLAB
Learn how to training deep learning models in MATLAB®. - Define Custom Training Loops, Loss Functions, and Networks
Learn how to define and customize deep learning training loops, loss functions, and models. - Train Sequence Classification Network Using Custom Training Loop
This example shows how to train a network that classifies sequences with a custom learning rate schedule. - Monitor Custom Training Loop Progress
Track and plot custom training loop progress. - Train Network with Multiple Outputs
This example shows how to train a deep learning network with multiple outputs that predict both labels and angles of rotations of handwritten digits. - Classify Videos Using Deep Learning with Custom Training Loop
This example shows how to create a network for video classification by combining a pretrained image classification model and a sequence classification network. - Train Neural ODE Network
This example shows how to train an augmented neural ordinary differential equation (ODE) network. - Solve Ordinary Differential Equation Using Neural Network
This example shows how to solve an ordinary differential equation (ODE) using a neural network. - Speed Up Deep Neural Network Training
Learn how to accelerate deep neural network training.
Automatische Differenzierung
- Create Bidirectional LSTM (BiLSTM) Function
This example shows how to create a bidirectional long-short term memory (BiLSTM) function for custom deep learning functions. (Seit R2023b) - List of Functions with dlarray Support
View the list of functions that supportdlarray
objects. - Automatic Differentiation Background
Learn how automatic differentiation works. - Use Automatic Differentiation In Deep Learning Toolbox
How to use automatic differentiation in deep learning.