عنوان

Deep learning for dummies /

شابک

1119543029

شابک

1119543037

شابک

1119543045

شابک

9781119543022

شابک

9781119543039

شابک

9781119543046

شابک اشتباه

1119543045

شابک اشتباه

9781119543046

عنوان اصلي

Deep learning for dummies /

نام عام مواد

[Book]

نام نخستين پديدآور

John Paul Mueller, Luca Massaron.

محل نشرو پخش و غیره

Hoboken, NJ :

نام ناشر، پخش کننده و غيره

For Dummies,

تاریخ نشرو بخش و غیره

2019.

نام خاص و کميت اثر

1 online resource

عنوان فروست

For dummies

متن يادداشت

Intro; Title Page; Copyright Page; Table of Contents; Introduction; About This Book; Foolish Assumptions; Icons Used in This Book; Beyond the Book; Where to Go from Here; Part 1 Discovering Deep Learning; Chapter 1 Introducing Deep Learning; Defining What Deep Learning Means; Starting from Artificial Intelligence; Considering the role of AI; Focusing on machine learning; Moving from machine learning to deep learning; Using Deep Learning in the Real World; Understanding the concept of learning; Performing deep learning tasks; Employing deep learning in applications

متن يادداشت

Choosing a particular frameworkWorking with Low-End Frameworks; Caffe2; Chainer; PyTorch; MXNet; Microsoft Cognitive Toolkit/CNTK; Understanding TensorFlow; Grasping why TensorFlow is so good; Making TensorFlow easier by using TFLearn; Using Keras as the best simplifier; Getting your copy of TensorFlow and Keras; Fixing the C++ build tools error in Windows; Accessing your new environment in Notebook; Part 2 Considering Deep Learning Basics; Chapter 5 Reviewing Matrix Math and Optimization; Revealing the Math You Really Need; Working with data; Creating and operating with a matrix

متن يادداشت

Considering the Deep Learning Programming EnvironmentOvercoming Deep Learning Hype; Discovering the start-up ecosystem; Knowing when not to use deep learning; Chapter 2 Introducing the Machine Learning Principles; Defining Machine Learning; Understanding how machine learning works; Understanding that it's pure math; Learning by different strategies; Training, validating, and testing data; Looking for generalization; Getting to know the limits of bias; Keeping model complexity in mind; Considering the Many Different Roads to Learning; Understanding there is no free lunch

متن يادداشت

Creating the ApplicationUnderstanding cells; Adding documentation cells; Using other cell types; Understanding the Use of Indentation; Adding Comments; Understanding comments; Using comments to leave yourself reminders; Using comments to keep code from executing; Getting Help with the Python Language; Working in the Cloud; Using the Kaggle datasets and kernels; Using the Google Colaboratory; Chapter 4 Leveraging a Deep Learning Framework; Presenting Frameworks; Defining the differences; Explaining the popularity of frameworks; Defining the deep learning framework

متن يادداشت

Discovering the five main approachesDelving into some different approaches; Awaiting the next breakthrough; Pondering the True Uses of Machine Learning; Understanding machine learning benefits; Discovering machine learning limits; Chapter 3 Getting and Using Python; Working with Python in this Book; Obtaining Your Copy of Anaconda; Getting Continuum Analytics Anaconda; Installing Anaconda on Linux; Installing Anaconda on MacOS; Installing Anaconda on Windows; Downloading the Datasets and Example Code; Using Jupyter Notebook; Defining the code repository; Getting and using datasets

بدون عنوان

0

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

متن يادداشت

Take a deep dive into deep learning Deep learning provides the means for discerning patterns in the data that drive online business and social media outlets. Deep Learning for Dummies gives you the information you need to take the mystery out of the topic-and all of the underlying technologies associated with it. In no time, you'll make sense of those increasingly confusing algorithms, and find a simple and safe environment to experiment with deep learning. The book develops a sense of precisely what deep learning can do at a high level and then provides examples of the major deep learning application types.-Includes sample code -Provides real-world examples within the approachable text -Offers hands-on activities to make learning easier -Shows you how to use Deep Learning more effectively with the right tools This book is perfect for those who want to better understand the basis of the underlying technologies that we use each and every day.

منبع سفارش / آدرس اشتراک

OverDrive, Inc.

شماره انبار

F14ED55F-5DCA-4B25-B81E-9E4A9AB09F4C

عنوان

Deep learning for dummies.

شماره استاندارد بين المللي کتاب و موسيقي

9781119543046

موضوع مستند نشده

Artificial intelligence.

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

Artificial intelligence.

موضوع مستند نشده

COMPUTERS-- General.

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

COM-- 000000

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Mueller, John,1958-

مستند نام اشخاص تاييد نشده

Massaron, Luca

تاريخ عمليات

20200822154650.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y