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- Author: Oswald Campesato
- Publisher: Mercury Learning and Information
- ISBN-10: 1683924606
- ISBN-13: 9781683924609
- Format: 15.2 x 22.6 x 1.5 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
As part of thebest-selling Pocket Primer series, thisbook is designed to introducebeginners to basic machine learning algorithms using TensorFlow 2. It isintended to be a fast-paced introduction to various "core" features ofTensorFlow, with code samples that cover machine learning and TensorFlowbasics. A comprehensive appendix contains someKeras-based code samples and the underpinnings of MLPs, CNNs, RNNs, and LSTMs. The material inthe chapters illustrates how to solve a variety of tasks after which you can dofurther reading to deepen your knowledge. Companion files with all of the codesamples are available for downloading from the publisher by emailing proof of purchase to [email protected].
Features:
- Uses Python for codesamples
- Covers TensorFlow 2 APIsand Datasets
- Includes a comprehensiveappendix that covers Keras and advanced topics such as NLPs, MLPs, RNNs, LSTMs
- Features the companion files with all of thesource code examples and figures (download fromthe publisher)
EXTRA 10 % discount with code: EXTRA
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The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Oswald Campesato
- Publisher: Mercury Learning and Information
- ISBN-10: 1683924606
- ISBN-13: 9781683924609
- Format: 15.2 x 22.6 x 1.5 cm, minkšti viršeliai
- Language: English English
As part of thebest-selling Pocket Primer series, thisbook is designed to introducebeginners to basic machine learning algorithms using TensorFlow 2. It isintended to be a fast-paced introduction to various "core" features ofTensorFlow, with code samples that cover machine learning and TensorFlowbasics. A comprehensive appendix contains someKeras-based code samples and the underpinnings of MLPs, CNNs, RNNs, and LSTMs. The material inthe chapters illustrates how to solve a variety of tasks after which you can dofurther reading to deepen your knowledge. Companion files with all of the codesamples are available for downloading from the publisher by emailing proof of purchase to [email protected].
Features:
- Uses Python for codesamples
- Covers TensorFlow 2 APIsand Datasets
- Includes a comprehensiveappendix that covers Keras and advanced topics such as NLPs, MLPs, RNNs, LSTMs
- Features the companion files with all of thesource code examples and figures (download fromthe publisher)
Reviews