Deep Learning – NextGen AI Technology

Books Deep Learning Explainable AI Featured Posts Natural Language Processing Python Synthetic Data

New Book: No-Blackbox, Secure, Efficient AI and LLM Solutions

Large language models and modern AI is often presented as technology that needs deep neural networks (DNNs) with billions of Blackbox parameters, expensive and time consuming training, along with GPU farms, yet prone to hallucinations. This book presents alternatives that rely on explainable AI, featuring new algorithms based on radically different technology with trustworthy, auditable, […]

Deep Learning Explainable AI Featured Posts Generative AI Python Synthetic Data

Watermarking and Forensics for AI Models, Data, and Deep Neural Networks

In my previous paper posted here, I explained how I built a new class of non-standard deep neural networks, with various case studies based on synthetic data and open-source code, covering problems such as noise filtering, high-dimensional curve fitting, and predictive analytics. One of the models featured a promising universal function able to represent any […]

Deep Learning Explainable AI Featured Posts Generative AI Python Synthetic Data

10 Tips to Boost Performance of your AI Models

These model enhancements techniques apply to deep neural networks (DNNs) used in AI. The focus is on the core engine that powers all DNNs: gradient descent, layering and loss function. Reparameterization — Typically, in DNNs, many different parameter sets lead to the same optimum: loss minimization. DNN models are non-identifiable. This redundancy is a strength that […]

Data Sets Deep Learning Explainable AI Featured Posts Generative AI Python Synthetic Data

A New Type of Non-Standard High Performance DNN with Remarkable Stability

I explore deep neural networks (DNNs) starting from the foundations, introducing a new type of architecture, as much different from machine learning than it is from traditional AI. The original adaptive loss function introduced here for the first time, leads to spectacular performance improvements via a mechanism called equalization. To accurately approximate any response, rather […]

Data Sets Deep Learning Featured Posts Synthetic Data Time Series

Synthesizing Multi-Table Databases: Model Evaluation & Vendor Comparison

Synthesizing multi-table tabular data presents its own challenges, compared to single-table. When the database contains date columns such as transaction or admission date, a frequent occurrence in real-world datasets, generating high quality synthetizations and model evaluation are even more complicated. In this article, we focus on this type of problems, comparing generated observations produced by […]

Books Courses Deep Learning Explainable AI Featured Posts Generative AI Machine Learning Natural Language Processing Python Synthetic Data Time Series Visualization

New Book: State of the Art in GenAI & LLMs — Creative Projects, with Solutions

With 23 top projects, 96 subprojects, and 6000 lines of Python code, this vendor-neutral coursebook is a goldmine for any analytic professional or AI/ML engineer interested in developing superior GenAI or LLM enterprise apps using ground-breaking technology. This is not another book discussing the same topics that you learn in bootcamps, college classes, Coursera, or […]

Books Deep Learning Featured Posts Generative AI Machine Learning Python

New Book: Understanding Deep Learning

By Simon Prince, computer science Professor at the University of Alberta. To be published by MIT Press, Dec 2023. The author shares the associated Jupyter notebooks on his website, here. Very popular, it got over 5,000 likes when the author announced the upcoming book on LinkedIn. I pre-ordered my copy. Summary An authoritative, accessible, and […]

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Massively Speed-Up your Learning Algorithm, with Stochastic Thinning

Dramatically Speed-Up your Learning Algorithm, with Stochastic Thinning. Includes use case, Python code, regression and neural network illustrations.

Books Data Sets Deep Learning Explainable AI Featured Posts Machine Learning Synthetic Data

Data Synthetization: enhanced GANs vs Copulas

Using case studies, I compare generative adversarial networks (GANs) with copulas to synthesize tabular data. I discuss back-end and front-end improvements to help GANs better replicate the correlation structure present in the real data. Likewise, I discuss methods to further improve copulas, including transforms, the use of separate copulas for each population segment, and parametric […]

Books Data Sets Deep Learning Explainable AI Featured Posts Machine Learning Synthetic Data Visualization

New Book: Intuitive Machine Learning and Explainable AI

Intuitive Machine Learning with focus on explainable AI, human-friendly intelligence, powerful visualizations and applications. By Vincent Granville Ph.D, published in September 2022. PDF format, 156 pages. Version 1.0 with Python code. The book is available here. For my upcoming course based on this book, see here. This book covers the foundations of machine learning, with modern […]

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