Illustrated Deep Learning Part 2: How Does a Neural Network Learn? | by Shreya Rao | February 2024
An illustrated and intuitive guide to how neural networks learn.Welcome to Part 2 of the Deep Learning Illustrated series. In ...
Tag: neural
Deciphering neural universality in GPT-2 language models
As large language models (LLMs) gain importance in high-risk applications, understanding their decision-making processes becomes crucial to mitigating potential risks. ...
Illustrated Deep Learning Part 1: How Does a Neural Network Work? | by Shreya Rao | January 2024
An illustrated and intuitive guide to neural networks.If you've read my previous articles, you'll know what's coming next. In this ...
This 200-page AI report covers Vector Retrieval: Revealing the Secrets of Deep Learning and Neural Networks in Multimodal Data Management
artificial intelligence has witnessed a revolution, largely due to advances in deep learning. This shift is driven by neural networks ...
Meet VMamba: An Alternative to Convolutional Neural Networks CNN and Vision Transformers to Improve Computational Efficiency
There are two main challenges in learning visual representations: the computational inefficiency of Vision Transformers (ViTs) and the limited ability ...
How does ReLU allow neural networks to approximate continuous nonlinear functions? | by Thi-Lam-Thuy LE | January 2024
Discover how a neural network with a hidden layer using ReLU activation can represent any continuous nonlinear function.Activation functions play ...
Can we optimize AI for information retrieval with less computation? This AI article introduces InRanker: an innovative approach to distilling large neural classifiers
Practical deployment of multi-million-parameter neural classifiers in real-world systems poses a significant challenge in information retrieval (IR). These advanced neural ...
Reduce inference time for BERT models using neural architecture search and SageMaker Automated Model Tuning
In this post, we demonstrate how to use neural architecture search (NAS) based structural pruning to compress a fine-tuned BERT ...
This AI article presents XAI-AGE: an innovative deep neural network for biological age prediction and insight into epigenetic mechanisms
Aging involves the gradual accumulation of damage and is a major risk factor for chronic diseases. Epigenetic mechanisms, particularly DNA ...
This AI article demonstrates how decoder-only transformers imitate infinite multi-state recurrent neural networks RNNs and introduces TOVA to improve efficiency
Transformers have replaced recurrent neural networks (RNN) as the preferred architecture for natural language processing (NLP). Transformers stand out conceptually ...
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