Angular and Deep Learning Pocket Primer
1st Edition
Will be published approx. on 30. November 2020
Book
Paperback/Softback
342 pages
978-1-68392-473-9 (ISBN)
Description
No detailed description available for "Angular and Deep Learning Pocket Primer".
More details
Series
Edition
1. Auflage
Language
English
Place of publication
Herndon, VA
United States
Target group
Professional and scholarly
US School Grade: College Graduate Student
Product notice
Klappenbroschur
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 20 mm
Weight
519 gr
ISBN-13
978-1-68392-473-9 (9781683924739)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Oswald Campesato
Angular and Deep Learning Pocket Primer
E-Book
10/2020
1st Edition
Mercury Learning & Information
from
€44.95
Available for download
Oswald Campesato
Angular and Deep Learning Pocket Primer
E-Book
10/2020
1st Edition
Mercury Learning and Information
€42.99
Available for download
Person
Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty-five books including Google Gemini for Python, Large Language Models, and GPT-4 for Developers (all Mercury Learning).
Content
1: Quick Introduction to Angular
2: UI Controls, User Input, and Pipes
3: Forms and Services
4: Deep Learning Introduction
5: Deep Learning: RNNs and LSTMs
6: Angular and TensorFlow.js
Appendices:
A. Introduction to Keras
B. Introduction to TensorFlow 2
C. TensorFlow 2 Datasets
Index
2: UI Controls, User Input, and Pipes
3: Forms and Services
4: Deep Learning Introduction
5: Deep Learning: RNNs and LSTMs
6: Angular and TensorFlow.js
Appendices:
A. Introduction to Keras
B. Introduction to TensorFlow 2
C. TensorFlow 2 Datasets
Index