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Deep Learning Approaches to Text Production

elaborate on three main aspects of neural approaches to text production: how sequential decoders learn to generate adequate text, how encoders learn;

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Deep Learning Approaches to Text Production

elaborate on three main aspects of neural approaches to text production: how sequential decoders learn to generate adequate text, how encoders learn;

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Programming PyTorch for Deep Learning Creating and Deploying Deep Learning Applications

the critical concepts of applying transfer learning to images, debugging models, and PyTorch in production. Learn how to deploy deep;

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PyTorch Deep Learning Hands-On

learning models from prototyping to production Book DescriptionPyTorch Deep Learning Hands-On is a book for engineers who want a fast-paced guide;

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Pro Deep Learning with TensorFlow

Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition;

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AI and Deep Learning in Biometric Security

This book provides an in-depth overview of artificial intelligence and deep learning approaches with case studies to solve problems;

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Deep Learning for Biometrics

This timely text/reference presents a broad overview of advanced deep learning architectures for learning effective feature representation;

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Machine Learning in the Oil and Gas Industry

to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches. The initial chapters;

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Machine Learning in the Oil and Gas Industry

to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches. The initial chapters;

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Deep Learning with PyTorch Quick Start Guide

Introduction to deep learning and PyTorch by building a convolutional neural network and recurrent neural network for real-world use cases;

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Hands-On Artificial Intelligence on Amazon Web Services

deep learning models Build and deploy robust deep learning systems to production Train machine and deep learning models with diverse;

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Deep Learning for NLP and Speech Recognition

and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers;

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Deep Learning for Nlp and Speech Recognition

and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers;

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Cognitive Computing Recipes

including TensowFlow and CNTK to give you a broader perspective of the deep learning ecosystem. What You Will Learn Build production-ready solutions;

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Hands-On Natural Language Processing with PyTorch 1.x

insights from text by building deep learning models for natural language processing (NLP) tasks. Starting by understanding how to install PyTorch;

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Deep Learning Approaches to Cloud Security

DEEP LEARNING APPROACHES TO CLOUD SECURITY Covering one of the most important subjects to our society today, cloud security, this editorial;

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Domain Adaptation in Computer Vision with Deep Learning

This book provides a survey of deep learning approaches to domain adaptation in computer vision. It gives the reader an overview of the;

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Mastering PyTorch

only build and train your own deep reinforcement learning models in PyTorch but also deploy PyTorch models to production using expert tips and;

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Deploy Machine Learning Models to Production

Build and deploy machine learning and deep learning models in production with end-to-end examples. This book begins with a focus on 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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Practical Computer Vision Applications Using Deep Learning with CNNs

. This book will help you apply deep learning and computer vision concepts from scratch, step-by-step from conception to production. What You;

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Deep Learning for Remote Sensing Images with Open Source Software

. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source;

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Deep Learning for Remote Sensing Images with Open Source Software

. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source;

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R Deep Learning Cookbook

from text, image and speech * Guide to set-up deep learning models using CPU and GPU Who This Book Is For Data science professionals or;

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Deep Learning and Convolutional Neural Networks for Medical Image Computing

using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale;

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Deep Learning on Edge Computing Devices

> Brings together neural network algorithm and hardware design optimization approaches to deep learning, alongside real-world applications;

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Artificial Intelligence with Python Cookbook

to build AI solutions for images, text, sounds, and images Implement NLP, reinforcement learning, deep learning, GANs, Monte-Carlo tree;

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