Turing Game by scch { }

To the Game

GPT-3

by | May 28, 2020 | Computer Science

GPT-3, an upgrade to GPT-2, represents a significant leap forward in natural language processing with its 175 billion parameters. This massive model achieved state-of-the-art performance across a variety of NLP tasks by effectively leveraging few-shot, one-shot, and...

GPT-2

by | Feb 28, 2019 | Computer Science

GPT-2, an upgrade to GPT-1, significantly advanced the capabilities of large-scale language models. It demonstrated that such models can perform a variety of tasks without explicit supervision by leveraging vast amounts of text data for training. This breakthrough...

Generative Adversarial Networks

by | Dec 31, 2014 | Computer Science

GANs consist of two neural networks that operate in tandem, engaging in a game-like competition. The architecture includes a generator network that creates data samples (such as images) and a discriminator network that evaluates these samples, distinguishing between...

First CNN on GPU

by | Jul 16, 2011 | Computer Science

The 2011 paper “Flexible, High Performance Convolutional Neural Networks for Image Classification” by Dan C. Cireşan, Ueli Meier, Jonathan Masci, Luca M. Gambardella, and Jürgen Schmidhuber was a pioneering work in the field of deep learning. It was the...

Feature extraction by neural networks

by | Jul 28, 2006 | Computer Science

The authors demonstrated that neural networks with multiple hidden layers can effectively learn compact, meaningful representations of high-dimensional data. These learned representations, or embeddings, can capture the essential structure of the input data,...

Le Net

by | Nov 30, 1998 | Computer Science

An early instance of a successful gradient-based learning technique is detailed in the paper “Gradient-Based Learning Applied to Document Recognition” by Y. LeCun et al., published in the Proceedings of the IEEE in 1998. This work exemplifies the practical...