Deep learning for NLP and speech recognition

640 67 0

Đang tải... (xem toàn văn)

Tài liệu hạn chế xem trước, để xem đầy đủ mời bạn chọn Tải xuống

/ 640 trang

Thông tin tài liệu

Ngày đăng: 03/05/2022, 13:56

Xem thêm:

Mục lục

Who Is This Book for?

What Does This Book Cover?

Part I Machine Learning, NLP, and Speech Introduction

1.1.3 Semi-Supervised Learning and Active Learning

1.1.4 Transfer Learning and Multitask Learning

1.2.1 Deep Learning: A Brief History

1.2.2 Natural Language Processing: A Brief History

1.2.3 Automatic Speech Recognition: A Brief History

1.3 Tools, Libraries, Datasets, and Resources for the Practitioners

1.3.3.3 Additional Tools and Libraries

Tài liệu cùng người dùng

Korean language for beginners Korean language for beginners
177 56 0

Tài liệu liên quan

Adaptive learning solution based on deep learning for traffic object recognition. Adaptive learning solution based on deep learning for traffic object recognition.
118 16 0
Context-Dependent Pre-trained Deep Neural Networks for Large Vocabulary Speech Recognition Context-Dependent Pre-trained Deep Neural Networks for Large Vocabulary Speech Recognition
13 7 0
(Luận văn thạc sĩ) A study on deep learning techniques for human action representation and recognition with skeleton data (Luận văn thạc sĩ) A study on deep learning techniques for human action representation and recognition with skeleton data
130 3 0
increasing access to english language learning for refugees and asylum seekers increasing access to english language learning for refugees and asylum seekers
1 0 0
An audio visual corpus for multimodal automatic speech recognition An audio visual corpus for multimodal automatic speech recognition
26 18 0
SIGNIFICANCE OF INVARIANT ACOUSTIC CUES IN A PROBABILISTIC FRAMEWORK FOR LANDMARK-BASED SPEECH RECOGNITION SIGNIFICANCE OF INVARIANT ACOUSTIC CUES IN A PROBABILISTIC FRAMEWORK FOR LANDMARK-BASED SPEECH RECOGNITION
6 3 0
Creating New Histories of Learning for Math and Science Instruction Using NVivo and Transana to manage and study large multimedia datasets. Creating New Histories of Learning for Math and Science Instruction Using NVivo and Transana to manage and study large multimedia datasets.
9 4 0
An activation-verification model for letter and word recognition The word-superiority effect An activation-verification model for letter and word recognition The word-superiority effect
22 2 0