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Amita Kapoor Ankit Jain Arman TensorFlow Machine Learni (Paperback) (UK IMPORT)

Description: Further DetailsTitle: TensorFlow Machine Learning ProjectsCondition: NewFormat: PaperbackEAN: 9781789132212Language: EnglishISBN-10: 1789132215ISBN: 9781789132212Release Date: 11/30/2018Author: Amita Kapoor, Ankit Jain, Armando FandangoItem Length: 75mmItem Height: 93mmType: AI & Machine LearningSubtitle: Build 13 real-world projects with advanced numerical computations using the Python ecosystemPublisher: Packt Publishing LimitedDescription: Implement TensorFlow's offerings such as TensorBoard, TensorFlow.js, TensorFlow Probability, and TensorFlow Lite to build smart automation projectsKey FeaturesUse machine learning and deep learning principles to build real-world projectsGet to grips with TensorFlow's impressive range of module offeringsImplement projects on GANs, reinforcement learning, and capsule networkBook Description TensorFlow has transformed the way machine learning is perceived. TensorFlow Machine Learning Projects teaches you how to exploit the benefits—simplicity, efficiency, and flexibility—of using TensorFlow in various real-world projects. With the help of this book, you’ll not only learn how to build advanced projects using different datasets but also be able to tackle common challenges using a range of libraries from the TensorFlow ecosystem. To start with, you’ll get to grips with using TensorFlow for machine learning projects; you’ll explore a wide range of projects using TensorForest and TensorBoard for detecting exoplanets, TensorFlow.js for sentiment analysis, and TensorFlow Lite for digit classification. As you make your way through the book, you’ll build projects in various real-world domains, incorporating natural language processing (NLP), the Gaussian process, autoencoders, recommender systems, and Bayesian neural networks, along with trending areas such as Generative Adversarial Networks (GANs), capsule networks, and reinforcement learning. You’ll learn how to use the TensorFlow on Spark API and GPU-accelerated computing with TensorFlow to detect objects, followed by how to train and develop a recurrent neural network (RNN) model to generate book scripts. By the end of this book, you’ll have gained the required expertise to build full-fledged machine learning projects at work.What you will learnUnderstand the TensorFlow ecosystem using various datasets and techniquesCreate recommendation systems for quality product recommendationsBuild projects using CNNs, NLP, and Bayesian neural networksPlay Pac-Man using deep reinforcement learningDeploy scalable TensorFlow-based machine learning systemsGenerate your own book script using RNNsWho this book is for TensorFlow Machine Learning Projects is for you if you are a data analyst, data scientist, machine learning professional, or deep learning enthusiast with basic knowledge of TensorFlow. This book is also for you if you want to build end-to-end projects in the machine learning domain using supervised, unsupervised, and reinforcement learning techniquesCountry/Region of Manufacture: GBGenre: Computing & InternetRelease Year: 2018 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.

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Amita Kapoor Ankit Jain Arman TensorFlow Machine Learni (Paperback) (UK IMPORT)

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Book Title: TensorFlow Machine Learning Projects

Title: TensorFlow Machine Learning Projects

EAN: 9781789132212

ISBN-10: 1789132215

ISBN: 9781789132212

Release Date: 11/30/2018

Release Year: 2018

Item Height: 93mm

Subtitle: Build 13 real-world projects with advanced numerical computations

Country/Region of Manufacture: GB

Genre: Computing & Internet

Number of Pages: 322 Pages

Language: English

Publication Name: TensorFlow Machine Learning Projects : Build 13 Real-World Projects with Advanced Numerical Computations Using the Python Ecosystem

Publisher: Packt Publishing, The Limited

Subject: Intelligence (Ai) & Semantics, Natural Language Processing, Neural Networks

Publication Year: 2018

Type: Textbook

Author: Ankit Jain, Amita Kapoor, Armando Fandango

Item Length: 3.6 in

Subject Area: Computers

Item Width: 3 in

Format: Trade Paperback

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