# neural networks In preparation for starting a new job next week, I’ve been doing some reading about neural networks and deep learning. The math behind neural networks is pretty interesting, so I thought I’d take my notes, and turn them into some posts. As the name suggests, the basic idea of a neural network is to construct a computational system based on a simple model of a neuron. If you look at a neuron under a microscope, what you see is something vaguely similar to: It’s a cell with three main
How do machine learning and neural networks work together to create intelligent systems
With the advancements of artificial intelligence and machine learning, neural networks are becoming more widely discussed thanks to their role in deep learning
Skip to content WhatsTheBigData The evolving IT landscape ← IDC Survey Finds IoT is All About The Data Who is Buying All the AI Startups? Google, Intel, Apple, Twitter and Salesforce → Neural Networks Typology Posted on October 10, 2016 by GilPress Source: The Asimov Institute With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone?) can be a bit overwhelming at first. So I
Recurrent neural networks (RNNs) explained: how they remember sequences, why LSTMs and GRUs fixed them, and where they still beat transformers in 2026
Discover how Recurrent Neural Networks explained with simple analogies. Learn what makes RNNs, LSTMs, and GRUs work for text, speech, and AI
# neural networks ## How To Use Neural Networks to Forecast Multiple Steps of a Time Series Time series are wonderful. I love them. They are everywhere. And we even get to brag about being able to predict the future! As a follow-up to the article on predicting multiple time-series, I receive lots of messages asking about prediction for more than a single step. A step can be any period of time: a day, a week, a minute, an year… So this is called multi-step forecasting. I want to show you how to do it with
Nikolaos Kourentzes Forecasting research Skip to content Downloads About Tag Archives: neural networks Discussion panel on ‘AI in research’ at Skövde The PhD Student Council at the University of Skövde hosted a panel discussion on the topic of AI in research. Together with Peter Anderberg, Jörgen Hansson, Amos Ng, and Jane Synnergren, we discussed our views, informed by the perspectives from our different areas of research. We touched upon various aspects of the topic, and concluded… Read More
Neural networks cannot inherently explain their predictions in a human-interpretable way. Their decision-making process
Blog Loading… Stack Overflow Business Stack Internal: the knowledge intelligence layer that powers enterprise AI. Stack Data Licensing: decades of verified, technical knowledge to boost AI performance and trust. Stack Ads: engage developers where it matters — in their daily workflow. neural networks Subscribe to the podcast Get The Stack Overflow Podcast at your favorite listening service. February 10, 2026 The logos, ethos, and pathos of your LLMs Ryan is joined by Professor Tom Griffiths, the head of