Showing results 9131-9140 of >9,202 (page 914)
https://www.emergentmind.com/papers/1510.04781

This report will show the history of deep learning evolves. It will trace back as far as the initial belief of connectionism modelling of brain, and come back to look at its early stage realization: neural networks. With the background of neural network, we will gradually introduce how convolutional neural network, as a representative of deep discriminative models, is developed from neural networks, together with many practical techniques that can help in optimization of neural networks. On the other hand

https://aibr.jp/archives/130420

田中専務 拓海先生、最近部下から「ニューラルODE(Neural Ordinary Differential

https://proceedings.neurips.cc/paper_files/paper/2020/hash/0060ef47b12160b9198302ebdb144dcf-Abstract.html

NeurIPS Proceedings Search Self-Supervised MultiModal Versatile Networks Jean-Baptiste Alayrac, Adria Recasens, Rosalia Schneider, Relja Arandjelović, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman Advances in Neural Information Processing Systems 33 (NeurIPS 2020) Abstract Videos are a rich source of multi-modal supervision. In this work, we learn representations using self-supervision by leveraging three modalities naturally present in videos: visual, audio and language

https://aman.ai/primers/ai/gnn/

Aman's AI Journal | Course notes and learning material for Artificial Intelligence and Deep Learning Stanford classes.

https://codethrasher.com/posts/artificial_neural_network/

A place where I write about things that keep me up at night.

https://gregstanleyandassociates.com/whitepapers/FaultDiagnosis/NeuralNets/neuralnets.htm

Neural Nets for fault detection and diagnosis - from the Guide to Fault Detection and Diagnosis

https://data-and-the-world.onrender.com/posts/convolutional-sector-etf-prediction/

An attempt at predicting the direction of the Dow Jones Industrial Average with ETFs and convolutional neural networks

https://dylandoblar.github.io/noether-networks/

Meta-learning inductive biases in the form of useful conserved quantities.

https://www.alphaxiv.org/abs/1901.05761

Attentive Neural Processes (ANPs) integrate attention mechanisms into Neural Processes (NPs), effectively resolving the underfitting problem by allowing target queries to dynamically weight relevant

https://www.aiweirdness.com/recipe-reviews/

I’ve used various neural networks to generate recipes, to varying degrees of success. My earliest recipes were generated with char-rnn, which had to learn everything - spelling, punctuation, words - entirely from scratch. Its recipes were terrible (Swamp Peef and Cheese, anyone? Or Chocolate Chicken Chicken Cake

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