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Deep Learning with MXNet Cookbook: Discover an extensive collection of recipes for creating and implementing AI models on MXNet  eBooks & eLearning

Posted by naag at Oct. 24, 2024
Deep Learning with MXNet Cookbook: Discover an extensive collection of recipes for creating and implementing AI models on MXNet

Deep Learning with MXNet Cookbook: Discover an extensive collection of recipes for creating and implementing AI models on MXNet
English | 2023 | ISBN: B0C2QKYT8W | Pages: 576 | EPUB (True) | 8.10 MB
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Deep Learning with MXNet Cookbook: Discover an extensive collection of recipes for creating and implementing AI models on MXNet  eBooks & eLearning

Posted by naag at Oct. 24, 2024
Deep Learning with MXNet Cookbook: Discover an extensive collection of recipes for creating and implementing AI models on MXNet

Deep Learning with MXNet Cookbook: Discover an extensive collection of recipes for creating and implementing AI models on MXNet
English | 2023 | ISBN: B0C2QKYT8W | Pages: 576 | EPUB (True) | 8.10 MB
Details

Deep Learning with MXNet Cookbook  eBooks & eLearning

Posted by TiranaDok at Dec. 7, 2024
Deep Learning with MXNet Cookbook

Deep Learning with MXNet Cookbook: Discover an extensive collection of recipes for creating and implementing AI models on MXNet by Andrés P Torres
English | December 29, 2023 | ISBN: 1800569602 | 370 pages | EPUB | 23 Mb
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Deep Learning with MXNet Cookbook  eBooks & eLearning

Posted by Free butterfly at April 22, 2024
Deep Learning with MXNet Cookbook

Deep Learning with MXNet Cookbook: Discover an extensive collection of recipes for creating and implementing AI models on MXNet by Andrés P Torres
English | December 29, 2023 | ISBN: 1800569602 | 370 pages | EPUB | 23 Mb
Details

Deep Learning with MXNet Cookbook  eBooks & eLearning

Posted by TiranaDok at Dec. 7, 2024
Deep Learning with MXNet Cookbook

Deep Learning with MXNet Cookbook: Discover an extensive collection of recipes for creating and implementing AI models on MXNet by Andrés P Torres
English | December 29, 2023 | ISBN: 1800569602 | 370 pages | EPUB | 23 Mb
Details

Building Deep Learning Models Using Apache MXNet  eBooks & eLearning

Posted by naag at Sept. 19, 2018
Building Deep Learning Models Using Apache MXNet

Building Deep Learning Models Using Apache MXNet
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 237 MB
Genre: eLearning | Language: English
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Deep Learning with MXNet Cookbook  eBooks & eLearning

Posted by hill0 at Dec. 29, 2023
Deep Learning with MXNet Cookbook

Deep Learning with MXNet Cookbook:
Discover an extensive collection of recipes for creating and implementing AI models on MXNet
English | 2023 | ISBN: 1800569602 | 576 Pages | EPUB (True) | 23 MB
Details

Building Neural Networks with MXNet  eBooks & eLearning

Posted by IrGens at Feb. 1, 2018
Building Neural Networks with MXNet

Building Neural Networks with MXNet
.MP4, AVC, 780 kbps, 1920x1080 | English, AAC, 235 kbps, 2 Ch | 1 hr 12 mins | 525 MB
Instructor: Mark Tabladillo
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Deep Learning Using TensorFlow and Apache MXNet on AWS Sagemaker  eBooks & eLearning

Posted by naag at April 7, 2018
Deep Learning Using TensorFlow and Apache MXNet on AWS Sagemaker

Deep Learning Using TensorFlow and Apache MXNet on AWS Sagemaker
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 310 MB
Genre: eLearning | Language: English

This course is an in-depth introduction to SageMaker and the support it offers to train and deploy machine learning models in a distributed environment.
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R Deep Learning Essentials: A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet, 2nd Ed.  eBooks & eLearning

Posted by First1 at Sept. 29, 2018
R Deep Learning Essentials: A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet, 2nd Ed.

R Deep Learning Essentials: A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet, 2nd Edition by Mark Hodnett, Joshua F. Wiley
English | September 18th, 2018 | ISBN: 178899289X | 378 Pages | EPUB | 9.76 MB

Implement neural network models in R 3.5 using TensorFlow, Keras, and MXNet
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