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Deep Learning with TensorFlow 2 and Keras

Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devices Key;

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Deep Learning with JavaScript

natural language processing in the browser Fine-tuning machine learning models with client-side data Constructing and training a neural;

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Programming with TensorFlow

is written for those who want to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open source;

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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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Applied Natural Language Processing with Python

existing code or create new algorithms. Applied Natural Language Processing with Python starts with reviewing the necessary machine learning;

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Natural Language Processing Recipes

Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises;

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Machine Learning for Economics and Finance in TensorFlow 2

methods in economics and machine learning, including regression analysis, natural language processing, and dimensionality reduction. TensorFlow;

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Advanced Natural Language Processing with TensorFlow 2

complicated tasks Key Features Apply deep learning algorithms and techniques such as BiLSTMS, CRFs, BPE and more using TensorFlow 2 Explore;

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Natural Language Processing

Natural Language Processing covers all aspects of the area of linguistic analysis and the computational systems that have been developed to;

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Natural Language Processing and Text Mining

Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text;

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Artificial Neural Networks with TensorFlow 2

further experimentation. With Artificial Neural Networks with TensorFlow 2 you'll see just how wide the range of TensorFlow's capabilities are;

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Introduction to Deep Learning

, and references for further reading. An early chapter is devoted to Tensorflow and its interface with Python, the widely used programming;

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Natural Language Processing

in tweets. Section 2 focuses on semantics in natural language processing, describing resolving topic-focus ambiguities in natural language;

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TensorFlow for Deep Learning From Linear Regression to Reinforcement Learning

Learn how to solve challenging machine learning problems with TensorFlow, Google's revolutionary new software library for deep learning. If;

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Advances in Natural Language Processing

in Turku, Finland in August 2006. The book presents 72 revised full papers together with 1 invited talk and the extended abstracts of 2 invited;

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Hands-On Image Generation with TensorFlow

advanced TensorFlow 2.x features Book DescriptionThe emerging field of Generative Adversarial Networks (GANs) has made it possible to generate;

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Machine Learning Using TensorFlow Cookbook

. With the help of this book, you will be proficient in using TensorFlow, understand deep learning from the basics, and be able to implement;

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Hands-On Computer Vision with TensorFlow 2

more Key Features Discover how to build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern;

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Hands-On Deep Learning for Images with TensorFlow

fast, efficient, and accurate deep learning tasks. Hands-On Deep Learning for Images with TensorFlow shows you the practical implementations;

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AI and Machine Learning For Coders A Programmer's Guide to Artificial Intelligence

of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with;

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Mastering Computer Vision with TensorFlow 2.x

videos. This book focuses on using TensorFlow to help you learn advanced computer vision tasks such as image acquisition, processing, and;

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Natural Language Processing in Artificial Intelligence

This volume focuses on natural language processing, artificial intelligence, and allied areas. Natural language processing enables;

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Advances in Natural Language Processing Intelligent Informatics and Smart Techn

This book constitutes the thoroughly refereed proceedings of the Eleventh International Symposium on Natural Language Processing (SNLP-2016;

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Machine Learning for Text

relationship with ranking and machine learning methods. 3. Natural language processing: Chapters 10 through 16 discuss various sequence-centric and;

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Speech and Language Processing

For undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing;

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Natural Language Processing Recipes

with advanced algorithms. You then explore semantic and syntactic analysis of the text. Complex NLP solutions that involve text normalization;

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Practical TensorFlow.js

integrate with TensorFlow. js to create intelligent web apps. The most common and accessible platform users interact with everyday is their web;

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