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Deep Learning Quick Reference

Dive deeper into neural networks and get your models trained, optimized with this quick reference guide Key Features A quick reference to;

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R Deep Learning Cookbook

analysts who have performed machine learning tasks and now want to explore deep learning and want a quick reference that could address the pain;

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Principles and Practices for Effective Blended Learning (Quick Reference Guide)

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Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide

Learn how to train popular deep learning architectures such as autoencoders, convolutional and recurrent neural networks while discovering;

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Convolutional Neural Networks in Visual Computing

guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good;

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Convolutional Neural Networks in Visual Computing

guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good;

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Deep Learning Applications

This book presents a compilation of selected papers from the 17th IEEE International Conference on Machine Learning and Applications (IEEE;

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Deep Learning Applications Volume 2

This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It;

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Python Deep Learning

optimize results. Starting with a quick recap of important machine learning concepts, the book will delve straight into deep learning principles;

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The Lingo of Learning

The book's chapters cover teaching techniques, learning theories, research concepts, and even the nature of science. Although this is a;

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Deep Learning for Cancer Diagnosis

This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning;

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Deep Learning for Cancer Diagnosis

This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning;

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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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Reinforcement Learning for Finance

This book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow;

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Deep Learning

The purpose of this edited volume is to provide a comprehensive overview on the fundamentals of deep learning, introduce the widely-used;

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Python Pocket Reference

version 2.6. Filled with need-to-know information, this handy book provides a convenient quick reference to the core language, along with;

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Deep Learning for Medical Decision Support Systems

This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future;

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Deep Learning for Medical Decision Support Systems

This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future;

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Deep Learning Illustrated

Deep learning is one of today's hottest fields. This approach to machine learning is achieving breakthrough results in some of today's;

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Deep Learning for Biomedical Applications

This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the;

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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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An Introduction to Variational Autoencoders

Variational Autoencoders provides a quick summary for the of a topic that has become an important tool in modern-day deep learning techniques.;

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Introduction to Deep Learning

A project-based guide to the basics of deep learning. This concise, project-driven guide to deep learning takes readers through a series;

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Mastering PyTorch

Master advanced techniques and algorithms for deep learning with PyTorch using real-world examples Key Features Understand how to use;

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MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition

Deep learning has become a trending area of research due to its adaptive characteristics and high levels of applicability. In recent years;

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MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition

Deep learning has become a trending area of research due to its adaptive characteristics and high levels of applicability. In recent years;

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Medical-Surgical Nursing Made Incredibly Easy!

using an easy-to-understand, light-hearted approach. A quick quiz at the end of each chapter helps to reinforce learning.;

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