Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision
portes grátis
Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision
Techniques and Use Cases
Renuka, D. Karthika; Kumar, L. Ashok
Taylor & Francis Ltd
04/2025
226
Mole
Inglês
9781032391663
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1 Introduction 2 Natural Language Processing 3 State-of-the-Art Natural Language 4 Applications of Natural Language Processing Fundamentals of Speech Recognition 6 Deep Learning Models for Speech Recognition 7 End-to-End Speech Recognition Models 8 Computer Vision Basics 9 Deep Learning Models for Computer Vision 10 Applications of Computer Vision
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Deep Learning;Language Modeling;Neural Networks;WordNet;Word Sense;Optical Character Recognition;Speech Recognition;POS Tag;HMM.;Convolution Layer;Machine Translation;NLP Application;Natural Language Processing;Pre-trained Models;Recurrent Neural Network;MFCC Feature;Deep Learning Models;Sentiment Analysis;Deep Learning Algorithms;Acoustic Model;NLG.;Naive Bayes;Convolutional Layers;Unigram Model;Ml Model;Recurrent Layer;Word Embeddings;Latent Dirichlet Allocation;HMM;Rest API;Feature Vector Length;Ml Algorithm
1 Introduction 2 Natural Language Processing 3 State-of-the-Art Natural Language 4 Applications of Natural Language Processing Fundamentals of Speech Recognition 6 Deep Learning Models for Speech Recognition 7 End-to-End Speech Recognition Models 8 Computer Vision Basics 9 Deep Learning Models for Computer Vision 10 Applications of Computer Vision
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Deep Learning;Language Modeling;Neural Networks;WordNet;Word Sense;Optical Character Recognition;Speech Recognition;POS Tag;HMM.;Convolution Layer;Machine Translation;NLP Application;Natural Language Processing;Pre-trained Models;Recurrent Neural Network;MFCC Feature;Deep Learning Models;Sentiment Analysis;Deep Learning Algorithms;Acoustic Model;NLG.;Naive Bayes;Convolutional Layers;Unigram Model;Ml Model;Recurrent Layer;Word Embeddings;Latent Dirichlet Allocation;HMM;Rest API;Feature Vector Length;Ml Algorithm
