Description: Note: Any images shown are stock photographs and product may differ from what is shown. You are purchasing a Good copy of 'Deep Learning with R for Beginners: Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet'Condition Notes: This item shows signs of wear from consistent use, but it remains in good condition and is a good working copy. All pages and cover are intact , but may have aesthetic issues such as small tears, bends, scratches, and scuffs. Spine may also show signs of wear.
Price: 25 USD
Location: Dayton, Ohio
End Time: 2024-11-20T14:34:04.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Return policy details:
Release Year: 2019
Book Title: Deep Learning with R for Beginners: Design neural network mode...
Number of Pages: 612 Pages
Language: English
Publication Name: Deep Learning with R for Beginners : Design Neural Network Models in R 3. 5 Using TensorFlow, Keras, and MXNet
Publisher: Packt Publishing, The Limited
Subject: Programming Languages / General, Data Modeling & Design, Intelligence (Ai) & Semantics, Neural Networks
Publication Year: 2019
Type: Textbook
Author: Yuxi (Hayden) Liu, Mark Hodnett, Pablo Maldonado, Joshua F. Wiley
Item Length: 3.6 in
Subject Area: Computers
Item Width: 3 in
Format: Trade Paperback
