Neural Networks for Beginners

Brian Murray

"Neural Networks for Beginners: An Easy-to-Follow Introduction to Artificial Intelligence and Deep Learning" is an essential guide to understanding the basics of neural networks, the fundamental technology behind artificial intelligence and deep...

Premium Chapters

Premium

Opening Credits

1/15/2026

I Introduction

1/15/2026

II Fundamentals of neural networks

1/15/2026

III Building neural networks

1/15/2026

IV Evaluating and improving neural networks

1/15/2026

V Applications of neural networks

1/15/2026

VI Advanced topics in neural networks

1/15/2026

VII Ethics and future directions in neural networks

1/15/2026

VIII Conclusion

1/15/2026

Opening credits

1/15/2026

II Understanding model evaluation

1/15/2026

III Evaluating data warehouse models

1/15/2026

IV Performance metrics for model evaluation

1/15/2026

V Techniques for model evaluation

1/15/2026

VI Data quality assessment

1/15/2026

VII Model comparison and selection

1/15/2026

VIII Challenges and best practices in

1/15/2026

IX Future trends in model evaluation

1/15/2026

X Conclusion

1/15/2026

I Introduction to deep learning

1/15/2026

II Getting started with deep learning

1/15/2026

III Neural networks and layers

1/15/2026

IV Data preparation and preprocessing

1/15/2026

V Training deep neural networks

1/15/2026

VI Deep learning frameworks

1/15/2026

VII Deep learning applications

1/15/2026

VIII Advanced deep learning techniques

1/15/2026

IX Deploying deep learning models

1/15/2026

X Case studies

1/15/2026

XI Conclusion

1/15/2026

Ending Credits

1/15/2026