Building Machine Learning Projects with TensorFlow

ISBN: 1786466589

Category: Uncategorized

Tag: Database/SQL

Posted on 2018-11-15, by nokia241186.


Rodolfo Bonnin, "Building Machine Learning Projects with TensorFlow"
English | ISBN: 1786466589 | 2016 | EPUB/MOBI/Code files (True) | 291 pages | 95,4 MB

Key Features
Bored of too much theory on TensorFlow? This book is what you need! Thirteen solid projects and four examples teach you how to implement TensorFlow in production.
This example-rich guide teaches you how to perform highly accurate and efficient numerical computing with TensorFlow
It is a practical and methodically explained guide that allows you to apply Tensorflow's features from the very beginning.

Book Description
This book of projects highlights how TensorFlow can be used in different scenarios - this includes projects for training models, machine learning, deep learning, and working with various neural networks. Each project provides exciting and insightful exercises that will teach you how to use TensorFlow and show you how layers of data can be explored by working with Tensors. Simply pick a project that is in line with your environment and get stacks of information on how to implement TensorFlow in production.
(Buy premium account for maximum speed and resuming ability)

Sponsored High Speed Downloads
6313 dl's @ 3491 KB/s
Download Now [Full Version]
9510 dl's @ 3485 KB/s
Download Link 1 - Fast Download
7298 dl's @ 3137 KB/s
Download Mirror - Direct Download

Search More...
Building Machine Learning Projects with TensorFlow

Search free ebooks in!

Related Archive Books

Archive Books related to "Building Machine Learning Projects with TensorFlow":

Download this book

No active download links here?
Please check the description for download links if any or do a search to find alternative books.

Related Books


No comments for "Building Machine Learning Projects with TensorFlow".

    Add Your Comments
    1. Download links and password may be in the description section, read description carefully!
    2. Do a search to find mirrors if no download links or dead links.
    Back to Top