By Saif Ahmed

Key Features

  • Set up TensorFlow for genuine business use, together with high-performance setup features akin to multi-GPU support
  • Create pipelines for education and utilizing making use of classifiers utilizing uncooked real-world data
  • Productionize demanding situations and set up suggestions right into a construction setting

Book Description

TensorFlow is an open resource software program library for numerical computation utilizing facts stream graphs. The versatile structure permits you to install computation to at least one or extra CPUs or GPUs in a computer, server, or cellular machine with a unmarried API. TensorFlow was once initially built by means of researchers and engineers engaged on the Google mind group inside of Google's desktop Intelligence study association for the needs of undertaking computer studying and deep neural networks study, however the process is basic adequate to be appropriate in a large choice of different domain names as well.

This publication techniques universal advertisement desktop studying difficulties utilizing Google’s TensorFlow library. it's going to hide exact positive factors of the library resembling information circulate Graphs, education, visualisation of functionality with TensorBoard—all inside an example-rich context utilizing difficulties from a number of industries. The is on introducing new techniques via difficulties which are coded and solved over the process every one chapter.

What you are going to learn

  • Set up simple and complicated TensorFlow installations
  • Deep-dive into education, validating, and tracking education performance
  • Set up and run cross-sectional examples (images, time-series, textual content, and audio)
  • Create pipelines to house real-world enter data
  • Set up and run go domain-specific examples (economics, medication, textual content type, and advertising)
  • Empower the reader to move from suggestion to a production-ready computer studying setup/pipeline in a position to real-world usage

About the Author

Saif Ahmed is an comprehensive quantitative analyst and knowledge scientist with fifteen years of event. Saif’s occupation all started in administration consulting at Accenture and lead him to quantitative and senior administration roles at Goldman Sachs and AIG Investments. so much lately he co-founded and runs a startup involved in employing deep studying in the direction of automating clinical imaging.

Saif got his Bachelors in machine technology from Cornell college and is at present pursuing a graduate measure in info technological know-how at U.C. Berkeley.

Show description

Read or Download Machine Learning with TensorFlow PDF

Best data mining books

Robust Data Mining (SpringerBriefs in Optimization)

Info uncertainty is an idea heavily similar with such a lot actual existence functions that contain info assortment and interpretation. Examples are available in facts bought with biomedical tools or different experimental thoughts. Integration of sturdy optimization within the present information mining suggestions goal to create new algorithms resilient to blunders and noise.

Data Mining Mobile Devices

With today’s shoppers spending extra time on their mobiles than on their desktops, new equipment of empirical stochastic modeling have emerged that could offer sellers with designated information regarding the goods, content material, and providers their buyers wish. facts Mining cellular units defines the gathering of machine-sensed environmental information bearing on human social habit.

Information Security Analytics: Finding Security Insights, Patterns, and Anomalies in Big Data

Info defense Analytics delivers insights into the perform of analytics and, extra importantly, how one can make the most of analytic options to spot tendencies and outliers that will not be attainable to spot utilizing conventional safeguard research recommendations. details safeguard Analytics dispels the parable that analytics in the info safety area is restricted to only safety incident and occasion administration platforms and uncomplicated community research.

Big Data Analytics Using Multiple Criteria Decision-Making Models (Operations Research Series)

A number of standards selection Making (MCDM) is a subfield of Operations learn, facing choice making difficulties. A decision-making challenge is characterised by means of the necessity to select one or a couple of between a couple of choices. the sector of MCDM assumes precise value during this period of huge facts and company Analytics.

Additional resources for Machine Learning with TensorFlow

Example text

Download PDF sample

Rated 4.23 of 5 – based on 27 votes