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Deep Learning for NLP and Speech Recognition

Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech;

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Deep Learning for Nlp and Speech Recognition

Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech;

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Automatic Speech Recognition: A Deep Learning Approach

learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the;

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Deep Learning with Python

recognition, text classification, question answering, text-to-speech, and optical character recognition. Deep Learning with Python;

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Deep Learning with Applications Using Python

Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and;

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Robust Automatic Speech Recognition

recognitionLearn the links and relationship between alternative technologies for robust speech recognition Be able to use the;

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Natural Language Processing with Python Quick Start Guide

building a chatbot. With each project, you will learn a new concept of NLP. You will learn about entity recognition, part of speech tagging and;

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Hands-On Natural Language Processing with PyTorch 1.x

Become a proficient NLP data scientist by developing deep learning models for NLP and extract valuable insights from structured and;

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Python Deep Learning

vision, natural language processing (NLP), and speech recognition. You'll study generative model approaches such as variational autoencoders and;

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Natural Language Processing in Action

Description Modern NLP techniques based on machine learning radically improve the ability of software to recognize patterns, use;

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The Development of Deep Learning Technologies

extraction and transformation. The extensive use and huge success of deep learning in speech, CV, and NLP have led to significant advances toward the;

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Deep Learning Essentials

up deep learning library such as TensorFlow Fine-tune your deep learning models for NLP and Computer Vision applications Unify different;

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Deep Learning for Natural Language Processing

Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such;

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Deep Learning for Natural Language Processing

various NLP tasks can take your computational algorithms to a completely new level in terms of speed and accuracy. Deep Learning for Natural;

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Advanced Natural Language Processing with TensorFlow 2

One-stop solution for NLP practitioners, ML developers, and data scientists to build effective NLP systems that can perform real-world;

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Natural Language Processing Recipes

much more. The book presents the fundamentals necessary for applications of machine learning and deep learning in NLP. This second edition goes;

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Programming with TensorFlow

neural networks for deep learning, Natural Language Processing (NLP), speech recognition, and general predictive analytics. The book provides a;

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Real-World Natural Language Processing: Practical Applications with Deep Learning

understanding and generating human text and speech. NLP covers a wide range of algorithms and tasks, from classic functions such as spell checkers;

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Text Analytics with Python

. You'll see how to use the latest state-of-the-art frameworks in NLP, coupled with machine learning and deep learning models for supervised;

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Text Analytics with Python

. Yoüll see how to use the latest state-of-the-art frameworks in NLP, coupled with machine learning and deep learning models for supervised;

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Hands-On Deep Learning with R

Deepnet Key Features Understand deep learning algorithms and architectures using R and determine which algorithm is best suited for a specific;

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Natural Language Processing with PyTorchlow

Amazon Alexa and Google Translate possible. If you're a developer or data scientist new to NLP and deep learning, this practical guide shows you;

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Deep Learning Neural Networks

to a broad field of applications ranging from computer security, speech recognition, image and video recognition to industrial fault;

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Deep Learning Neural Networks

to a broad field of applications ranging from computer security, speech recognition, image and video recognition to industrial fault;

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Deep Learning for Data Analytics

of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications;

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Deep Learning with R

Description Artificial intelligence has made some incredible leaps. Deep learning systems now deliver near-human speech and image;

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Deep Learning

application areas that have already been transformed by the successful use of deep learning technology, such as speech recognition and computer vision;

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