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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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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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the critical concepts of applying transfer learning to images, debugging models, and PyTorch in production. Learn how to deploy deep;
Vergelijkbare producten zoals Programming PyTorch for Deep Learning Creating and Deploying Deep Learning Applications
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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Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition;
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This book provides an in-depth overview of artificial intelligence and deep learning approaches with case studies to solve problems;
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This timely text/reference presents a broad overview of advanced deep learning architectures for learning effective feature representation;
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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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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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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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deep learning models Build and deploy robust deep learning systems to production Train machine and deep learning models with diverse;
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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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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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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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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 Covering one of the most important subjects to our society today, cloud security, this editorial;
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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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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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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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recognition, text classification, question answering, text-to-speech, and optical character recognition. Deep Learning with Python;
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. 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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. 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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. 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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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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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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> Brings together neural network algorithm and hardware design optimization approaches to deep learning, alongside real-world applications;
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to build AI solutions for images, text, sounds, and images Implement NLP, reinforcement learning, deep learning, GANs, Monte-Carlo tree;
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