State-of-the-art Deep Learning Models in Tensorflow David Paper Modern Machine Learning in the Google Colab Ecosystem

By:

Paper, David

Contributor(s):

David Paper

Language: English Publication details: Apress 2023 [New York]Edition: ReprintDescription: xxiv, 374 pages 25 cmISBN:

9781484284964

Subject(s):

DDC classification:

006.31 PAP

Summary: Use TensorFlow 2.x in the Google Colab ecosystem to create state-of-the-art deep learning models guided by hands-on examples. The Colab ecosystem provides a free cloud service with easy access to on-demand GPU (and TPU) hardware acceleration for fast execution of the models you learn to build.

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Reference

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Current library	Call number	Status	Date due	Barcode
Anna Centenary Library 3RD FLOOR, A WING	006.31 PAP (Browse shelf(Opens below))	Not for loan		667990
Anna Centenary Library 3RD FLOOR, A WING	006.31 PAP;1 (Browse shelf(Opens below))	Not for loan		667991

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Previous	006.31 P CHO;1 Building Machine Learning Systems Using Python	006.31 PAN Operationalizing Machine Learning Pipelines.	006.31 PAN;1 Operationalizing Machine Learning Pipelines.	006.31 PAP State-of-the-art Deep Learning Models in Tensorflow Modern Machine Learning in the Google Colab Ecosystem	006.31 PAP;1 State-of-the-art Deep Learning Models in Tensorflow Modern Machine Learning in the Google Colab Ecosystem	006.31 PAT Getting started with deep Learning for natural language processing learn ho w to build NLP applications with deep learning	006.31 PAT;1 Getting started with deep Learning for natural language processing learn ho w to build NLP applications with deep learning	Next

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Use TensorFlow 2.x in the Google Colab ecosystem to create state-of-the-art deep learning models guided by hands-on examples. The Colab ecosystem provides a free cloud service with easy access to on-demand GPU (and TPU) hardware acceleration for fast execution of the models you learn to build.

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State-of-the-art Deep Learning Models in Tensorflow David Paper Modern Machine Learning in the Google Colab Ecosystem

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