Foro Wanako1
¿Quieres reaccionar a este mensaje? Regístrate en el foro con unos pocos clics o inicia sesión para continuar.

Foro Wanako1

Programas Gratuitos, Desatendidos y Mucho más!!!
 
PortalPortal  ÍndiceÍndice  BuscarBuscar  Últimas imágenesÚltimas imágenes  ConectarseConectarse  RegistrarseRegistrarse  
Buscar
 
 

Resultados por:
 
Rechercher Búsqueda avanzada
Los posteadores más activos del mes
missyou123
Deep  Learning for Natural Language Processing (DL for NLP) 2 Vote_lcapDeep  Learning for Natural Language Processing (DL for NLP) 2 Voting_barDeep  Learning for Natural Language Processing (DL for NLP) 2 Vote_rcap 
tano1221
Deep  Learning for Natural Language Processing (DL for NLP) 2 Vote_lcapDeep  Learning for Natural Language Processing (DL for NLP) 2 Voting_barDeep  Learning for Natural Language Processing (DL for NLP) 2 Vote_rcap 
ПΣӨƧӨFƬ
Deep  Learning for Natural Language Processing (DL for NLP) 2 Vote_lcapDeep  Learning for Natural Language Processing (DL for NLP) 2 Voting_barDeep  Learning for Natural Language Processing (DL for NLP) 2 Vote_rcap 
大†Shinegumi†大
Deep  Learning for Natural Language Processing (DL for NLP) 2 Vote_lcapDeep  Learning for Natural Language Processing (DL for NLP) 2 Voting_barDeep  Learning for Natural Language Processing (DL for NLP) 2 Vote_rcap 
ℛeℙ@¢ᴋ€r
Deep  Learning for Natural Language Processing (DL for NLP) 2 Vote_lcapDeep  Learning for Natural Language Processing (DL for NLP) 2 Voting_barDeep  Learning for Natural Language Processing (DL for NLP) 2 Vote_rcap 
ronaldinho424
Deep  Learning for Natural Language Processing (DL for NLP) 2 Vote_lcapDeep  Learning for Natural Language Processing (DL for NLP) 2 Voting_barDeep  Learning for Natural Language Processing (DL for NLP) 2 Vote_rcap 
Engh3
Deep  Learning for Natural Language Processing (DL for NLP) 2 Vote_lcapDeep  Learning for Natural Language Processing (DL for NLP) 2 Voting_barDeep  Learning for Natural Language Processing (DL for NLP) 2 Vote_rcap 
geodasoft
Deep  Learning for Natural Language Processing (DL for NLP) 2 Vote_lcapDeep  Learning for Natural Language Processing (DL for NLP) 2 Voting_barDeep  Learning for Natural Language Processing (DL for NLP) 2 Vote_rcap 
Noviembre 2024
LunMarMiérJueVieSábDom
    123
45678910
11121314151617
18192021222324
252627282930 
CalendarioCalendario
Últimos temas
» Wondershare Filmora 14.0.11.9772 (x64) Multilingual
Deep  Learning for Natural Language Processing (DL for NLP) 2 EmptyHoy a las 1:58 pm por ПΣӨƧӨFƬ

» Line6 Helix Native v3.80 (x64)
Deep  Learning for Natural Language Processing (DL for NLP) 2 EmptyHoy a las 1:55 pm por ПΣӨƧӨFƬ

» Topaz Video AI v5.5.0 (x64)(Stable - Nov.22, 2024)
Deep  Learning for Natural Language Processing (DL for NLP) 2 EmptyHoy a las 1:54 pm por ПΣӨƧӨFƬ

» Ashampoo Snap 16.0.9 (x64) Multilingual
Deep  Learning for Natural Language Processing (DL for NLP) 2 EmptyHoy a las 1:52 pm por ПΣӨƧӨFƬ

» Focus Magic v6.23 (x64) Multilingual
Deep  Learning for Natural Language Processing (DL for NLP) 2 EmptyHoy a las 1:47 pm por ПΣӨƧӨFƬ

» WYSIWYG Web Builder 19.4.4 (x64)
Deep  Learning for Natural Language Processing (DL for NLP) 2 EmptyHoy a las 1:14 pm por tano1221

» imobie DroidKit 2.3.2.20241122 (x64)
Deep  Learning for Natural Language Processing (DL for NLP) 2 EmptyHoy a las 1:03 pm por tano1221

» BlueStacks 5.21.610.1003 (Full Offline Installer)
Deep  Learning for Natural Language Processing (DL for NLP) 2 EmptyHoy a las 1:01 pm por tano1221

» Aiseesoft Phone Mirror 2.2.56 (x64) Multilingual
Deep  Learning for Natural Language Processing (DL for NLP) 2 EmptyHoy a las 12:58 pm por tano1221

Sondeo
Visita de Paises
free counters
Free counters

Comparte | 
 

 Deep Learning for Natural Language Processing (DL for NLP) 2

Ver el tema anterior Ver el tema siguiente Ir abajo 
AutorMensaje
missyou123
Miembro Mayor
Miembro Mayor


Mensajes : 78675
Fecha de inscripción : 20/08/2016

Deep  Learning for Natural Language Processing (DL for NLP) 2 Empty
MensajeTema: Deep Learning for Natural Language Processing (DL for NLP) 2   Deep  Learning for Natural Language Processing (DL for NLP) 2 EmptyMiér Jun 16, 2021 3:58 am

Deep  Learning for Natural Language Processing (DL for NLP) 2 F8327bda5f4438d6eae97e7cef7380e1
MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 1.16 GB | Duration: 2h 53m

What you'll learn
Deep Learning for Natural Language Processing
Encoder-decoder models, Attention models, ELMo
GLUE, Transformers, GPT, BERT
DL for NLP
Requirements
Basics of machine learning
Recurrent Models: RNNs, LSTMs, GRUs and variants
Multi-Layered Perceptrons (MLPs)
Description
This course is a part of "Deep Learning for NLP" Series. In this course, I will introduce concepts like Encoder-decoder attention models, ELMo, GLUE, Transformers, GPT and BERT. These concepts form the base for good understanding of advanced deep learning models for modern Natural Language Processing.

The course consists of two main sections as follows.

In the first section, I will talk about Encoder-decoder models in the context of machine translation and how beam search decoder works. Next, I will talk about the concept of encoder-decoder attention. Further, I will elaborate on different types of attention like Global attention, local attention, hierarchical attention, and attention for sentence pairs using CNNs as well as LSTMs. We will also talk about attention visualization. Finally, we will discuss ELMo which is a way of using recurrent models to compute context sensitive word embeddings.

In the second section, I will talk about details about the various tasks which are a part of the GLUE benchmark and details about other benchmark NLP datasets across tasks. Then we will start our modern NLP journey with understanding different parts of an encoder-decoder Transformer model. We will delve into details of Transformers in terms of concepts like self attention, multi-head attention, positional embeddings, residual connections, and masked attention. After that I will talk about two most popular Transformer models: GPT and BERT. In the GPT part, we will discuss how is GPT trained and what are differences in variants like GPT2 and GPT3. In the BERT part, we will discuss how BERT is different from GPT, how it is pretrained using the masked language modeling and next sentence prediction tasks. We will also quickly talk about finetuning for BERT and multilingual BERT.

Who this course is for:
Beginners in deep learning
Python developers interested in data science concepts

Screenshots

Deep  Learning for Natural Language Processing (DL for NLP) 2 2739cda021b5b02d62d827daf394228d

DOWNLOAD:
Citación :

https://rapidgator.net/file/5f9a9ea9ad629abffb3c9016de22656d/kkv48.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.2.part1.rar.html
https://rapidgator.net/file/0d885e928f5db632f565eb7f02033ca7/kkv48.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.2.part2.rar.html


https://uploadgig.com/file/download/3a9d0A783f1e62fe/kkv48.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.2.part1.rar
https://uploadgig.com/file/download/0448C302d142bfF4/kkv48.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.2.part2.rar


https://nitroflare.com/view/36FEE6B700497F4/kkv48.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.2.part1.rar
https://nitroflare.com/view/5CC7417B77F28FB/kkv48.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.2.part2.rar

Volver arriba Ir abajo
 

Deep Learning for Natural Language Processing (DL for NLP) 2

Ver el tema anterior Ver el tema siguiente Volver arriba 
Página 1 de 1.

Permisos de este foro:No puedes responder a temas en este foro.
Foro Wanako1 :: Programas o Aplicaciónes :: Ayuda, Tutoriales-