Disclaimer

Educational Content — Not Professional Advice

The information provided by KidML (“https://www.kidml.com”) is for general educational and informational purposes only. All information on the site is provided in good faith; however, we make no representation or warranty of any kind, express or implied, regarding the accuracy, adequacy, validity, reliability, availability, or completeness of any information on the site.

The use of any information or tools from this website is entirely at your own risk, for which we shall not be liable. It shall be your responsibility to ensure that any information or tools available through this website meet your specific requirements and circumstances.

Our Tools Give Estimates for Learning

Machine-learning explanations, calculator results, and technical information on KidML are educational only and may be incomplete or out of date. Our tools — including dataset sizing, GPU memory, training time, and model-metric calculators — produce approximations for learning purposes. Real-world outcomes vary widely by your hardware, framework and library versions, model architecture, data, precision, batch size, and countless other configuration details, and best practices change over time. Before you rely on any number for a real project, you should use your own judgment and validate it empirically on your own setup. ML behavior depends on many factors; always run your own experiments and do your own due diligence.

Not Professional Engineering or Data-Science Advice

Content and tools on KidML, including the ML Algorithm Selector, Dataset Size Calculator, Model Accuracy Calculator, GPU Memory Calculator, Neural Network Parameter Calculator, and Training Time Calculator, are for educational and informational purposes only and are not a substitute for hands-on experimentation, professional guidance, or the documentation for the frameworks and hardware you actually use. They do not constitute professional engineering, data-science, or safety advice of any kind. The figures and suggestions our tools provide are rough estimates, not guarantees of results. Always validate assumptions on your own data, hardware, and configuration before committing your time, compute, or resources.

Tool Accuracy and Limitations

Calculation Accuracy

Our machine-learning calculators and tools provide estimates based on standard conventions, the figures you enter, widely-accepted formulas, and common guidelines. Results should be used as starting points and learning aids, not absolute values or guaranteed outcomes.

Factors Affecting Accuracy

Actual results may vary significantly due to:

• Hardware Factors: GPU, CPU, memory, and how compute and throughput differ across devices and over time.
• Framework & Configuration: Library versions, precision, batch size, optimizers, and how each affects memory and timing.
• Model & Data Choices: The architecture, dataset, and preprocessing you choose, and how each suits your problem and goals.
• Measurement Factors: Self-reported figures, rounding, estimation, and differences between estimated and actual numbers.

Our Recommendations

For best results in your learning and projects:

• Use tool results as starting points and learning aids, not absolute values.
• Always consider your specific hardware, framework, data, and goals.
• Validate important estimates empirically before you rely on them.
• Consult trusted ML resources and official documentation for specific questions.
• Compare multiple sources and your own experiments to improve future decisions.

Not Professional Advice

KidML tools and content do not constitute:

• Engineering or Data-Science Advice: Information about algorithms, architectures, and compute is general only and is not a substitute for hands-on testing, professional guidance, or official documentation. Confirm critical assumptions with your own experiments.
• Safety Guidance:Our tools and content are educational only and never replace sound judgment, adult or parental supervision for children’s projects, and appropriate care when working with hardware, robotics, or electronics.
• Guaranteed Outcomes: Calculator outputs are learning aids only and are not a guarantee of memory usage, training time, accuracy, or results.
• Certified Expertise: Our content supplements but does not replace professional ML engineering, data-science, or safety guidance.

Consider seeking further guidance for:

• Production or high-stakes machine-learning systems
• Projects involving sensitive, personal, or regulated data
• Deployments where errors could cause real-world harm
• Hardware, robotics, or electronics builds, especially for children
• Any project where safety, privacy, or fairness is a concern
• Major decisions about compute budgets or infrastructure

Learning Safety Disclaimer

Our tools provide general guidance only, and machine learning is best learned by experimenting, measuring, and iterating. Projects intended for children should have adult or parental supervision where appropriate, especially anything involving hardware, robotics, or the internet. Always:

• Validate Empirically: Test estimates on your own hardware and framework before you depend on them for any significant work.
• Supervise Kids’ Projects: Provide adult or parental guidance for children building with hardware, robotics, electronics, or online tools.
• Use Good Judgment: Build projects gradually and notice how models and systems actually behave in practice.
• Compare Widely: Weigh guidance against multiple trusted sources, official documentation, and your own experiments.
• Confirm With Your Own Tests: Validate assumptions before you commit significant time, compute, or resources.

If you have any concerns about a project:

• Have significant assumptions reviewed and validated empirically.
• Follow official documentation and applicable guidelines carefully.
• Avoid deploying to production without proper testing and review.
• Follow safe and sensible practices when handling data and hardware.
• Treat unfamiliar tools and procedures with extra care and caution.

No Warranty

KidML expressly disclaims all warranties, whether express, implied, statutory, or otherwise, including but not limited to implied warranties of merchantability, fitness for a particular purpose, and non-infringement. We do not warrant that our tools, calculations, or information are error-free, accurate, or complete, or that our website will be available without interruption at all times.

Limitation of Liability

To the maximum extent permitted by applicable law, in no event shall KidML be liable for any direct, indirect, punitive, incidental, special, consequential, or exemplary damages, including without limitation damages for lost work, wasted compute, project delays, goodwill, use, or data arising out of or related to your use of our tools and services.

User Responsibility

By using KidML tools and services, you acknowledge and agree that:

• You will use your own judgment, and seek qualified guidance, when applying our recommendations to your specific situation.
• You will verify calculation results and seek additional sources of information before making important decisions.
• You are responsible for validating any estimate empirically and for supervising children’s projects where appropriate.
• You assume all risks associated with building, training, and deploying machine-learning projects, and the use of our tools and information.

External Links Disclaimer

The site may contain links to other websites or content originating from third parties. Such external links are not investigated, monitored, or checked for accuracy, adequacy, validity, reliability, availability, or completeness by us. We do not warrant, endorse, guarantee, or assume responsibility for the accuracy or reliability of any information offered by third-party websites linked through the site.

Advertising Disclaimer

KidML displays advertisements from third-party advertising networks, including Google AdSense. These advertisements are clearly distinguishable from our editorial content. The presence of advertisements on our website does not constitute an endorsement of the advertised products or services.

Changes to This Disclaimer

We reserve the right to modify this disclaimer at any time. Changes will be posted on this page with an updated revision date. Your continued use of our website and tools after any changes indicates your acceptance of the modified disclaimer.

Contact Us

If you have any questions or concerns about this Disclaimer, please visit our Contact page or email us at support@kidml.com.