Tag: Neural Networks

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition Front Cover

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition

  • Length: 850 pages
  • Publication Date: 2022-11-15
4.6
2081 ratings
Reliable Machine Learning: Applying SRE Principles to ML in Production Front Cover

Reliable Machine Learning: Applying SRE Principles to ML in Production

  • Length: 408 pages
  • Publication Date: 2022-11-01
0
0 ratings
Feature Engineering Bookcamp Front Cover

Feature Engineering Bookcamp

  • Length: 272 pages
  • Publication Date: 2022-10-04
0
0 ratings
Understanding Artificial Intelligence Front Cover

Understanding Artificial Intelligence

  • Length: 160 pages
  • Publication Date: 2020-12-10
4.5
2 ratings
Object Detection with Deep Learning Models: Principles and Applications Front Cover

Object Detection with Deep Learning Models: Principles and Applications

  • Length: 266 pages
  • Publication Date: 2022-11-03
0
0 ratings
Network Programming in Python: The Basic: A Detailed Guide to Python 3 Network Programming and Management Front Cover

Network Programming in Python: The Basic: A Detailed Guide to Python 3 Network Programming and Management

  • Length: 521 pages
  • Publication Date: 2022-05-03
0
0 ratings
Generative Adversarial Networks with Industrial Use Cases: Learning How to Build GAN Applications for Retail, Healthcare, Telecom, Media, Education, and HRTech Front Cover

Generative Adversarial Networks with Industrial Use Cases: Learning How to Build GAN Applications for Retail, Healthcare, Telecom, Media, Education, and HRTech

  • Length: 132 pages
  • Publication Date: 2020-03-05
0
0 ratings
Beginning with Deep Learning Using TensorFlow: A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications Front Cover

Beginning with Deep Learning Using TensorFlow: A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications

  • Length: 286 pages
  • Publication Date: 2022-02-09
0
0 ratings
Essentials of Deep Learning and AI: Experience Unsupervised Learning, Autoencoders, Feature Engineering, and Time Series Analysis with TensorFlow, Keras, and scikit-learn Front Cover

Essentials of Deep Learning and AI: Experience Unsupervised Learning, Autoencoders, Feature Engineering, and Time Series Analysis with TensorFlow, Keras, and scikit-learn

  • Length: 394 pages
  • Publication Date: 2021-11-25
0
0 ratings
The StatQuest Illustrated Guide to Machine Learning!!!: Master the concepts, one full-color picture at a time, from the basics all the way to neural networks. BAM! Front Cover

The StatQuest Illustrated Guide to Machine Learning!!!: Master the concepts, one full-color picture at a time, from the basics all the way to neural networks. BAM!

  • Length: 306 pages
  • Publication Date: 2022-07-14
0
0 ratings
Deep Learning with R, 2nd Edition Front Cover

Deep Learning with R, 2nd Edition

  • Length: 568 pages
  • Publication Date: 2022-07-26
4.5
75 ratings
Deep Learning and the Game of Go Front Cover

Deep Learning and the Game of Go

  • Length: 384 pages
  • Publication Date: 2019-01-25
3.9
25 ratings