Learning

Learn Neural Designer

Follow practical tutorials, explore real examples, and learn how to build, validate, and deploy machine learning models with Neural Designer.

Choose your learning path

Start with the product workflow, go deeper into machine learning concepts, or jump straight to applied examples and use cases.

Start with Neural DesignerFollow the practical workflow for creating a predictive model from your own data.Machine learning tutorialsUnderstand model types, data sets, neural networks, training, testing, and deployment.Examples by areaFind applied Neural Designer examples organized by engineering, science, medicine, and business.Use casesSee where machine learning creates value before moving into detailed example pages.

Build a model step by step

These core tutorials follow the same sequence you use in Neural Designer: prepare data, design and train the model, validate it, and deploy the result.

Data set

Prepare variables, samples, missing values, and data partitions.

Model types

Choose between approximation, classification, forecasting, text, image, and auto-association models.

Neural network

Review inputs, layers, outputs, and model structure.

Training strategy

Configure losses, optimization, and regularization.

Model selection

Select the architecture that generalizes best.

Testing analysis

Evaluate accuracy, errors, residuals, and classification metrics.

Model deployment

Export predictive models and integrate them into your workflow.

7-step guide

Put the full process together in a practical Neural Designer guide.

Examples by application area

Examples now follow the same four-area classification used across the site, with engineering first because it contains the broadest set of applications.

Engineering and technology examples

Engineering and Technology

Mechanical, electrical, civil, chemical, manufacturing, energy, automotive, aerospace, and marine applications.

Natural and life sciences examples

Natural and Life Sciences

Physics, chemistry, biology, environmental science, materials, biotechnology, agriculture, and food science.

Medicine and health sciences examples

Medicine and Health Sciences

Medicine, public health, pharmacology, drug discovery, and biomedical engineering applications.

Business and economic sciences examples

Business and Economic Sciences

Finance, insurance, marketing, sales, management, operations, human resources, and economics.

Browse all resources

Filter the learning library by resource type or search for a specific topic.

Introduction to neural networks

Start with the main machine learning concepts used by Neural Designer.

Types of machine learning models

Compare approximation, classification, forecasting, text, image, and auto-association models.

Data set

Learn how data sets are structured before training a model.

Neural network

Understand the structure of a predictive neural network.

Training strategy

Review loss functions, optimization algorithms, and training settings.

Model selection

Choose neural network architectures that generalize to new data.

Testing analysis

Evaluate model performance with error, regression, and classification analyses.

Model deployment

Export and use predictive models outside the training environment.

What is Neural Designer?

Get a product-level overview before building your first model.

Design a neural network

Follow the complete Neural Designer model-building workflow.

User guide

Open the main documentation index for Neural Designer.

Neural Designer with AWS

Use Neural Designer in cloud-based workflows.

Integrate a model in Power BI

Bring Neural Designer model outputs into reporting workflows.

Machine learning examples

Browse the complete examples library by area and field.

Engineering examples

Applications in industrial systems, energy, automotive, aerospace, and more.

Science examples

Applications in physics, chemistry, biology, environment, materials, and food science.

Medicine examples

Applications in medicine, public health, pharmacology, and biomedical engineering.

Business examples

Applications in finance, insurance, marketing, sales, operations, and economics.

Advanced article

Advanced analytics

Understand how predictive models support data-driven decision-making.

Advanced article

Modeling process

Review the steps involved in building reliable machine learning models.

Advanced article

Data sets and data matrices

Learn the tabular structures behind supervised learning problems.

Advanced article

Missing values

Prepare incomplete data before fitting predictive models.

Advanced article

Outlier treatment

Detect and handle extreme values in machine learning data.

Advanced article

Genetic algorithm feature selection

Use optimization techniques to identify relevant inputs.

FAQ

Find quick answers about licensing, setup, and product usage.

Contact us

Reach the Neural Designer team for product questions or support.

Video tutorials

Watch Neural Designer tutorials and product demonstrations.

Scientific publications

See research work that uses Neural Designer.

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Ready to build a model?

Start with the guided workflow or download Neural Designer when you are ready to apply these resources to your own data.

Download Neural Designer