Tensorflow 2 Pocket Primer

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Tensorflow 2 Pocket Primer

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Author : Oswald Campesato
language : en
Publisher: Pocket Primer
Release Date : 2019-08-30

Tensorflow 2 Pocket Primer written by Oswald Campesato and has been published by Pocket Primer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-30 with Computers categories.

As part of thebest-selling Pocket Primer series, thisbook is designed to introducebeginners to basic machine learning algorithms using TensorFlow 2. It isintended to be a fast-paced introduction to various "core" features ofTensorFlow, with code samples that cover machine learning and TensorFlowbasics. A comprehensive appendix contains someKeras-based code samples and the underpinnings of MLPs, CNNs, RNNs, and LSTMs. The material inthe chapters illustrates how to solve a variety of tasks after which you can dofurther reading to deepen your knowledge. Companion files with all of the codesamples are available for downloading from the publisher by emailing proof of purchase to [email protected]. Features: Uses Python for codesamples Covers TensorFlow 2 APIsand Datasets Includes a comprehensiveappendix that covers Keras and advanced topics such as NLPs, MLPs, RNNs, LSTMs Features the companion files with all of thesource code examples and figures (download fromthe publisher)

Tensorflow Pocket Primer

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Author : Oswald Campesato
language : en
Publisher: Pocket Primer
Release Date : 2019

Tensorflow Pocket Primer written by Oswald Campesato and has been published by Pocket Primer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Computers categories.

As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to basic machine learning algorithms using TensorFlow 2. --

Python For Tensorflow Pocket Primer

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Author : Oswald Campesato
language : en
Publisher: Pocket Primer
Release Date : 2019

Python For Tensorflow Pocket Primer written by Oswald Campesato and has been published by Pocket Primer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Computers categories.

Intended for software developers who are advanced beginners, this book is designed to prepare programmers for machine learning and deep learning/TensorFlow topics. --

Angular And Deep Learning Pocket Primer

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Author : Oswald Campesato
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2020-10-27

Angular And Deep Learning Pocket Primer written by Oswald Campesato and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-27 with Computers categories.

No detailed description available for "Angular and Deep Learning Pocket Primer".

Tensorflow 2 Pocket Reference

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Author : KC Tung
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-07-19

Tensorflow 2 Pocket Reference written by KC Tung and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-19 with Computers categories.

This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself. When and why would you feed training data as using NumPy or a streaming dataset? How would you set up cross-validations in the training process? How do you leverage a pretrained model using transfer learning? How do you perform hyperparameter tuning? Pick up this pocket reference and reduce the time you spend searching through options for your TensorFlow use cases. Understand best practices in TensorFlow model patterns and ML workflows Use code snippets as templates in building TensorFlow models and workflows Save development time by integrating prebuilt models in TensorFlow Hub Make informed design choices about data ingestion, training paradigms, model saving, and inferencing Address common scenarios such as model design style, data ingestion workflow, model training, and tuning

Deep Learning Pocket Primer

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Author : Oswald Campesato
language : en
Publisher:
Release Date : 2019-04-30

Deep Learning Pocket Primer written by Oswald Campesato and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-30 with categories.

Natural Language Processing Using R Pocket Primer

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Author : Oswald Campesato
language : en
Publisher: Stylus Publishing, LLC
Release Date : 2022-01-05

Natural Language Processing Using R Pocket Primer written by Oswald Campesato and has been published by Stylus Publishing, LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-05 with Computers categories.

This book is for developers who are looking for an overview of basic concepts in Natural Language Processing using R. It casts a wide net of techniques to help developers who have a range of technical backgrounds. Numerous code samples and listings are included to support myriad topics. The final chapter presents the Transformer Architecture, BERT-based models, and the GPT family of models, all of which were developed during the past three years. Companion files with source code and figures are included and available for downloading by emailing the publisher at [email protected] with proof of purchase. FEATURES: Covers extensive topics related to natural language processing using R Features companion files with source code and figures from the book

Angular And Machine Learning Pocket Primer

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Author : Oswald Campesato
language : en
Publisher: Pocket Primer
Release Date : 2020

Angular And Machine Learning Pocket Primer written by Oswald Campesato and has been published by Pocket Primer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computers categories.

The first three chapters of the book contain a short tour of basic Angular functionality, such as UI components and forms in Angular applications. The fourth chapter introduces you to machine learning concepts, such as supervised and unsupervised learning, followed by major types of machine learning algorithms (regression, classification, and clustering), along with a section regarding linear regression. The fifth chapter is devoted to classification algorithms, such as kNN, Na ve Bayes, decision trees, random forests, and SVM (Support Vector Machines). The sixth chapter introduces basic TensorFlow concepts, followed by tensorflowjs (i.e., TensorFlow in modern browsers), and some examples of Angular applications combined with machine learning. In addition, this book contains an appendix for deep learning.

Python

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Author : Oswald Campesato
language : en
Publisher:
Release Date : 2014

Python written by Oswald Campesato and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Computers categories.

As part of the new Pocket Primer series, this book provides an overview of the major aspects and the source code to use Python. This Pocket Primer is primarily for self-directed learners who want to learn Python and serves as a starting point for deeper exploration of Python programming.

Angular 4 Pocket Primer

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Author : Oswald Campesato
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2017-07-26

Angular 4 Pocket Primer written by Oswald Campesato and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-26 with Computers categories.

No detailed description available for "Angular 4 Pocket Primer".