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Deep Learning from the Basics: Python and Deep Learning

that are otherwise invisible to us. Deep Learning from the Basics begins with a fast-paced introduction to deep learning with Python, its;

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Beginning Anomaly Detection Using Python-Based Deep Learning

and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly;

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Advanced Deep Learning for Engineers and Scientists

effective implementation for scientists. They then present technical exposure towards deep learning using Keras, Tensorflow, Pytorch and Python;

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Deep Learning Projects Using TensorFlow 2

Work through engaging and practical deep learning projects using TensorFlow 2.0. Using a hands-on approach, the projects in this book will;

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Practical Computer Vision Applications Using Deep Learning with CNNs

convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you;

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Introduction to Deep Learning

-language processing, and reinforcement learning. The author, a longtime artificial intelligence researcher specializing in natural-language;

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Deep Learning with Python

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. You'll learn directly;

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Deep Learning Techniques for IoT Security and Privacy

comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and;

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Python Machine Learning -

Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries;

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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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Hands-On Reinforcement Learning with Python

learning from scratch, this book is for you. Some knowledge of linear algebra, calculus, and the Python programming language will help you;

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Python Deep Learning

Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python. About This Book;

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Deep Learning Essentials

Get to grips with the essentials of deep learning by leveraging the power of Python Key Features Your one-stop solution to get started with;

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Deep Learning for Natural Language Processing

prerequisites and the fundamentals of deep learning and NLP with practical examples. The first three chapters of the book cover the basics of NLP;

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Python Deep Learning

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries Key Features Build a strong;

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Learn Keras for Deep Neural Networks

with all the necessary basics to get started in deep learning. Chapter 1 introduces you to the world of deep learning and its difference from;

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Math For Deep Learning

With Math for Deep Learning, you'll learn the essential mathematics used by and as a background for deep learning. You'll work through;

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Reinforcement Learning

Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve;

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Deep Learning for NLP and Speech Recognition

-on case studies using Python-based tools and libraries. Deep Learning Basics The five chapters in the second part introduce deep learning and;

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Deep Learning for Nlp and Speech Recognition

-on case studies using Python-based tools and libraries. Deep Learning Basics The five chapters in the second part introduce deep learning and;

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Deep Learning with Structured Data

identifying cats in YouTube videos. Powerful deep learning techniques can efficiently extract insight from the kind of structured data collected by;

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Hands-On Deep Learning for Games

Understand the core concepts of deep learning and deep reinforcement learning by applying them to develop games Key Features Apply the;

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Hands-On Deep Learning for Images with TensorFlow

projects in TensorFlow. Knowledge of Python programming and basics of deep learning are required to get the best out of this book.;

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State-of-the-Art Deep Learning Models in TensorFlow

feed state-of-the-art deep learning models Create pipelined state-of-the-art deep learning models with clean and reliable Python code;

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Deep Learning with Theano

Book Is For This book is indented to provide a full overview of deep learning. From the beginner in deep learning and artificial;

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Deep Learning Quick Reference

in getting accomplishing the task smoothly. Some prior knowledge of Python and tight hold on the basics of machine learning is required.;

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TensorFlow 2 x in the Colaboratory Cloud

-Python, TensorFlow 2.x, GPU support, and Jupyter Notebooks-is provided and ready to go from Colab. The book begins with an introduction to;

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