Cargando…

Introduction to the basics of deep learning

Detalles Bibliográficos
Autor principal:	Rath, Yannik Alexander
Lenguaje:	eng
Publicado:	2019
Materias:	LPCC Workshops
Acceso en línea:	http://cds.cern.ch/record/2672378

Ejemplares similares

An introduction to machine learning with Scikit-Learn
por: Dr. LOUPPE, Gilles
Publicado: (2015)

Deep Learning Tutorial
por: SADOWSKI, Peter
Publicado: (2015)

The information theory of Deep Learning
por: Tishby, Naftali
Publicado: (2019)

A hybrid deep learning approach to vertexing
por: Schreiner, Henry Fredrick
Publicado: (2019)

A ground-up construction of deep learning
por: DE OLIVEIRA, Luke Percival
Publicado: (2015)

Deep Learning and its Applications in the Natural Sciences
por: BALDI, Pierre
Publicado: (2015)

Introduction
por: Bertolucci, Sergio
Publicado: (2011)

Introduction
por: Wacker, Jacob
Publicado: (2013)

Introduction and overview of the workshop
por: Kraml, Sabine
Publicado: (2021)

LUMIN - a deep learning and data science ecosystem for high-energy physics
por: Strong, Giles Chatham
Publicado: (2019)

Introduction to likelihoods - lecture 1
por: Cowan, Glen
Publicado: (2013)

Introduction to likelihoods - lecture 2
por: Cowan, Glen
Publicado: (2013)

Fast Deep Learning on FPGAs for the Phase-II L0 Muon Barrel Trigger of the ATLAS Experiment
por: Sabetta, Luigi
Publicado: (2019)

Deep generative models for fast shower simulation in ATLAS
por: Ghosh, Aishik
Publicado: (2019)

Event Generation and Statistical Sampling with Deep Generative Models
por: Otten, Sydney
Publicado: (2019)

The Tracking Machine Learning challenge
por: Rousseau, David
Publicado: (2019)

Containers for Machine Learning in HEP
por: Feickert, Matthew
Publicado: (2019)

TMVA R/Scikit-learn interface
por: Dr. GLEYZER, Sergei
Publicado: (2015)

Exploring SMEFT in VH channel with Machine Learning
por: Khosa, Charanjit Kaur
Publicado: (2019)

Machine Learning Uncertainties with Adversarial Neural Networks
por: Galler, Peter
Publicado: (2019)

GroomRL: jet grooming through reinforcement learning
por: Dreyer, Frederic Alexandre
Publicado: (2019)

Learning Invariant Representations using Mutual Information Regularization
por: Tan, Justin
Publicado: (2019)

Machine learning, computer vision, and probabilistic models in jet physics
por: KAGAN, Michael Aaron, et al.
Publicado: (2015)

Learning representations of irregular particle-detector geometry with distance-weighted graph networks
por: Kieseler, Jan
Publicado: (2019)

Probing Dark Matter with Disappearing Tracks at the LHC
por: Belyaev, Alexander
Publicado: (2021)

Discovering partonic rescattering in light nucleus collisions
por: Huss, Alexander Yohei
Publicado: (2021)

pyhf: pure-python HistFactory -- the tutorial
por: Stark, Giordon Holtsberg, et al.
Publicado: (2021)

High Granularity Calorimeter Simulation using Generative Adversarial Networks
por: Khattak, Gul Rukh
Publicado: (2019)

Traditional approach to network architecture optimisation
por: Ustyuzhanin, Andrey
Publicado: (2019)

Bayesian approach to network design
por: Ustyuzhanin, Andrey
Publicado: (2019)

Bayesian dropout explanation and examples
por: Ustyuzhanin, Andrey
Publicado: (2019)

Differentiable architecture search
por: Ustyuzhanin, Andrey
Publicado: (2019)

Physics inspired Autonomous Feature Engineering
por: Rieger, Marcel
Publicado: (2019)

ParticleNet: Jet Tagging via Particle Clouds
por: Qu, Huilin
Publicado: (2019)

Feature ranking based on subtraction methods
por: Glaysher, Paul
Publicado: (2019)

ML Techniques for heavy flavour identification in CMS
por: Bols, Emil Sorensen
Publicado: (2019)

Model-Assisted GANs for the optimisation of simulation parameters and as an algorithm for fast Monte Carlo production
por: Alonso Monsalve, Saul
Publicado: (2019)

NeuralRinger: An Ensemble of Neural Networks Fed from Calorimeter Ring Sums for Triggering on Electrons
por: Spolidoro Freund, Werner
Publicado: (2019)

Close-out
por: Schramm, Steven Randolph
Publicado: (2019)

Advanced Generative Adversarial Network Techniques
por: Glombitza, Jonas
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_tpk2a9t56co33ufaeb6ssjtjhs