عنوان

Keras to Kubernetes :

شابک

1119564840

شابک

1119564867

شابک

1119564875

شابک

9781119564843

شابک

9781119564867

شابک

9781119564874

شابک اشتباه

1119564832

شابک اشتباه

9781119564836

عنوان اصلي

Keras to Kubernetes :

نام عام مواد

[Book]

ساير اطلاعات عنواني

the journey of a machine learning model to production /

نام نخستين پديدآور

Dattaraj Jagdish Rao.

محل نشرو پخش و غیره

Indianapolis, IN :

نام ناشر، پخش کننده و غيره

John Wiley & Sons,

تاریخ نشرو بخش و غیره

[2019]

نام خاص و کميت اثر

1 online resource (xviii, 302 pages)

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

Cover; Title Page; Copyright; Acknowledgments; About the Author; About the Technical Editor; Credits; Contents; Introduction; How This Book Is Organized; Conventions Used; Who Should Read This Book; Tools You Will Need; Using Python; Using the Frameworks; Setting Up a Notebook; Finding a Dataset; Summary; Chapter 1 Big Data and Artificial Intelligence; Data Is the New Oil and AI Is the New Electricity; Rise of the Machines; Exponential Growth in Processing; A New Breed of Analytics; What Makes AI So Special; Applications of Artificial Intelligence; Building Analytics on Data

متن يادداشت

Bias vs. Variance: Underfitting vs. OverfittingSummary; Chapter 5 Advanced Deep Learning; The Rise of Deep Learning Models; New Kinds of Network Layers; Convolution Layer; Pooling Layer; Dropout Layer; Batch Normalization Layer; Building a Deep Network for Classifying Fashion Images; CNN Architectures and Hyper-Parameters; Making Predictions Using a Pretrained VGG Model; Data Augmentation and Transfer Learning; A Real Classification Problem: Pepsi vs. Coke; Recurrent Neural Networks; Summary; Chapter 6 Cutting-Edge Deep Learning Projects; Neural Style Transfer; Generating Images Using AI

متن يادداشت

Credit Card Fraud Detection with AutoencodersSummary; Chapter 7 AI in the Modern Software World; A Quick Look at Modern Software Needs; How AI Fits into Modern Software Development; Simple to Fancy Web Applications; The Rise of Cloud Computing; Containers and CaaS; Microservices Architecture with Containers; Kubernetes: A CaaS Solution for Infrastructure Concerns; Summary; Chapter 8 Deploying AI Models as Microservices; Building a Simple Microservice with Docker and Kubernetes; Adding AI Smarts to Your App; Packaging the App as a Container; Pushing a Docker Image to a Repository

متن يادداشت

Metrics for Accuracy: Precision and RecallComparison of Classification Methods; Bias vs. Variance: Underfitting vs. Overfitting; Reinforcement Learning; Model-Based RL; Model-Free RL; Summary; Chapter 3 Handling Unstructured Data; Structured vs. Unstructured Data; Making Sense of Images; Dealing with Videos; Handling Textual Data; Listening to Sound; Summary; Chapter 4 Deep Learning Using Keras; Handling Unstructured Data; Neural Networks; Back-Propagation and Gradient Descent; Batch vs. Stochastic Gradient Descent; Neural Network Architectures; Welcome to TensorFlow and Keras

متن يادداشت

Types of Analytics: Based on the ApplicationTypes of Analytics: Based on Decision Logic; Building an Analytics-Driven System; Summary; Chapter 2 Machine Learning; Finding Patterns in Data; The Awesome Machine Learning Community; Types of Machine Learning Techniques; Unsupervised Machine Learning; Supervised Machine Learning; Reinforcement Learning; Solving a Simple Problem; Unsupervised Learning; Supervised Learning: Linear Regression; Gradient Descent Optimization; Applying Gradient Descent to Linear Regression; Supervised Learning: Classification; Analyzing a Bigger Dataset

بدون عنوان

0

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

متن يادداشت

Build a Keras model to scale and deploy on a Kubernetes cluster. We have seen an exponential growth in the use of Artificial Intelligence (AI) over last few years. AI is becoming the new electricity and is touching every industry from retail to manufacturing to healthcare to entertainment. Within AI, we're seeing a particular growth in Machine Learning (ML) and Deep Learning (DL) applications. ML is all about learning relationships from labeled (Supervised) or unlabeled data (Unsupervised). DL has many layers of learning and can extract patterns from unstructured data like images, video, audio, etc. Keras to Kubernetes: The Journey of a Machine Learning Model to Production takes you through real-world examples of building DL models in Keras for recognizing product logos in images and extracting sentiment from text. You will then take that trained model and package it as a web application container before learning how to deploy this model at scale on a Kubernetes cluster. You will understand the different practical steps involved in real-world ML implementations which go beyond the algorithms.

منبع سفارش / آدرس اشتراک

Wiley

شماره انبار

9781119564867

عنوان

Keras to Kubernetes : The Journey of a Machine Learning Model to Production.

شماره استاندارد بين المللي کتاب و موسيقي

9781119564836

موضوع مستند نشده

Artificial intelligence.

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

Artificial intelligence.

موضوع مستند نشده

Big data.

موضوع مستند نشده

COMPUTERS-- General.

موضوع مستند نشده

Data mining.

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

COM-- 000000

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Rao, Dattaraj

تاريخ عمليات

20200822154813.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y