• Aucun résultat trouvé

Unification by Error-Correction

N/A
N/A
Protected

Academic year: 2022

Partager "Unification by Error-Correction"

Copied!
6
0
0

Texte intégral

Références

Documents relatifs

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

73 Comparison between neural network prediction and leasl squares eslimate of the pitch moment (horizontal circular arc r' = 0.1) 88... INTRODUCTION AND

The policy-based solutions parameterize the policy function directly by a neural architecture and try to find the optimal policy using gradient ascent, while the value-based

Impact of the precision of training data and of the neural network on the short term quantified by the time τ lim above which the prediction departs by more than 5% from the

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

In this paper, we propose natural attacks using visibly foggy images to generate input that causes incorrect classi- fication by the Inception deep learning model [22].. Apart from

In this paper we described our experience in creating and training a neural net- work for predicting the critical frequency foF2 using data obtained at Irkutsk with the DPS4

The deep neural network with an input layer, a set of hidden layers and an output layer can be used for further considerations.. As standard ReLu activation function is used for all