Practical deep learning for cloud, mobile, and edge: real-world AI and computer vision projects using Python, Keras and TensorFlow
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| Main Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Beijing
O'Reilly
2019
|
| Edition: | First edition |
| Subjects: | |
| Online Access: | DE-1050 DE-523 |
| Item Description: | Includes index |
| Physical Description: | 1 Online-Ressource (viii, 585 Seiten) |
| ISBN: | 9781492034810 |
Staff View
MARC
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| 505 | 8 | |a Exploring the landscape of Artificial Intelligence -- What's in the picture: image classification with Keras -- Cats versus dogs: transfer learning in 30 lines with Keras -- Building a reverse image search engine: understanding embeddings -- From novice to master predictor: maximizing convolutional neural network accurcy -- Maximizing speed and performance of TensorFlow: a handy checklist -- Practical tools, tips, and tricks -- Cloud APIs for computer vision: up and running in 15 minutes -- Scalable inference serving on Cloud with TensorFlow Serving and KubeFlow -- AI in the browser with TensorFlow.js and mI5.js -- Real-time object classification on iOS with Core ML -- Not hotdog on iOS with Core ML and Create ML -- Shazam for food: developing android apps with TensorFlow Lite and ML Kit -- Building the purrfect cat locator app with TensorFlow Object Detection API -- Becoming a maker: exploring embedded AI at the edge -- Simulating a self-driving car using end-to-end deep learning with Keras -- Building an autonomous car in under an hour: reinforcement learning with AWS DeepRacer | |
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| author | Koul, Anirudh Ganju, Siddha Kasam, Meher |
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| contents | Exploring the landscape of Artificial Intelligence -- What's in the picture: image classification with Keras -- Cats versus dogs: transfer learning in 30 lines with Keras -- Building a reverse image search engine: understanding embeddings -- From novice to master predictor: maximizing convolutional neural network accurcy -- Maximizing speed and performance of TensorFlow: a handy checklist -- Practical tools, tips, and tricks -- Cloud APIs for computer vision: up and running in 15 minutes -- Scalable inference serving on Cloud with TensorFlow Serving and KubeFlow -- AI in the browser with TensorFlow.js and mI5.js -- Real-time object classification on iOS with Core ML -- Not hotdog on iOS with Core ML and Create ML -- Shazam for food: developing android apps with TensorFlow Lite and ML Kit -- Building the purrfect cat locator app with TensorFlow Object Detection API -- Becoming a maker: exploring embedded AI at the edge -- Simulating a self-driving car using end-to-end deep learning with Keras -- Building an autonomous car in under an hour: reinforcement learning with AWS DeepRacer |
| ctrlnum | (OCoLC)1128856236 (DE-599)BVBBV046259573 |
| discipline | Informatik |
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| id | DE-604.BV046259573 |
| illustrated | Not Illustrated |
| indexdate | 2025-02-13T07:00:26Z |
| institution | BVB |
| isbn | 9781492034810 |
| language | English |
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| spelling | Koul, Anirudh Verfasser aut Practical deep learning for cloud, mobile, and edge real-world AI and computer vision projects using Python, Keras and TensorFlow Anirudh Koul, Siddha Ganju, and Meher Kasam Real-world AI and computer-vision projects using Python, Keras, and TensorFlow First edition Beijing O'Reilly 2019 1 Online-Ressource (viii, 585 Seiten) txt rdacontent c rdamedia cr rdacarrier Includes index Exploring the landscape of Artificial Intelligence -- What's in the picture: image classification with Keras -- Cats versus dogs: transfer learning in 30 lines with Keras -- Building a reverse image search engine: understanding embeddings -- From novice to master predictor: maximizing convolutional neural network accurcy -- Maximizing speed and performance of TensorFlow: a handy checklist -- Practical tools, tips, and tricks -- Cloud APIs for computer vision: up and running in 15 minutes -- Scalable inference serving on Cloud with TensorFlow Serving and KubeFlow -- AI in the browser with TensorFlow.js and mI5.js -- Real-time object classification on iOS with Core ML -- Not hotdog on iOS with Core ML and Create ML -- Shazam for food: developing android apps with TensorFlow Lite and ML Kit -- Building the purrfect cat locator app with TensorFlow Object Detection API -- Becoming a maker: exploring embedded AI at the edge -- Simulating a self-driving car using end-to-end deep learning with Keras -- Building an autonomous car in under an hour: reinforcement learning with AWS DeepRacer Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Keras Framework, Informatik (DE-588)1160521077 gnd rswk-swf Deep Learning (DE-588)1135597375 gnd rswk-swf Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf TensorFlow (DE-588)1153577011 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Artificial intelligence Application software Maschinelles Lernen (DE-588)4193754-5 s Deep Learning (DE-588)1135597375 s Keras Framework, Informatik (DE-588)1160521077 s TensorFlow (DE-588)1153577011 s Künstliche Intelligenz (DE-588)4033447-8 s Python Programmiersprache (DE-588)4434275-5 s 1\p DE-604 Ganju, Siddha Verfasser aut Kasam, Meher Verfasser aut Erscheint auch als Online-Ausgabe 978-1-492-03479-7 Erscheint auch als Druck-Ausgabe 978-1-492-03486-5 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Koul, Anirudh Ganju, Siddha Kasam, Meher Practical deep learning for cloud, mobile, and edge real-world AI and computer vision projects using Python, Keras and TensorFlow Exploring the landscape of Artificial Intelligence -- What's in the picture: image classification with Keras -- Cats versus dogs: transfer learning in 30 lines with Keras -- Building a reverse image search engine: understanding embeddings -- From novice to master predictor: maximizing convolutional neural network accurcy -- Maximizing speed and performance of TensorFlow: a handy checklist -- Practical tools, tips, and tricks -- Cloud APIs for computer vision: up and running in 15 minutes -- Scalable inference serving on Cloud with TensorFlow Serving and KubeFlow -- AI in the browser with TensorFlow.js and mI5.js -- Real-time object classification on iOS with Core ML -- Not hotdog on iOS with Core ML and Create ML -- Shazam for food: developing android apps with TensorFlow Lite and ML Kit -- Building the purrfect cat locator app with TensorFlow Object Detection API -- Becoming a maker: exploring embedded AI at the edge -- Simulating a self-driving car using end-to-end deep learning with Keras -- Building an autonomous car in under an hour: reinforcement learning with AWS DeepRacer Künstliche Intelligenz (DE-588)4033447-8 gnd Keras Framework, Informatik (DE-588)1160521077 gnd Deep Learning (DE-588)1135597375 gnd Python Programmiersprache (DE-588)4434275-5 gnd TensorFlow (DE-588)1153577011 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)1160521077 (DE-588)1135597375 (DE-588)4434275-5 (DE-588)1153577011 (DE-588)4193754-5 |
| title | Practical deep learning for cloud, mobile, and edge real-world AI and computer vision projects using Python, Keras and TensorFlow |
| title_alt | Real-world AI and computer-vision projects using Python, Keras, and TensorFlow |
| title_auth | Practical deep learning for cloud, mobile, and edge real-world AI and computer vision projects using Python, Keras and TensorFlow |
| title_exact_search | Practical deep learning for cloud, mobile, and edge real-world AI and computer vision projects using Python, Keras and TensorFlow |
| title_full | Practical deep learning for cloud, mobile, and edge real-world AI and computer vision projects using Python, Keras and TensorFlow Anirudh Koul, Siddha Ganju, and Meher Kasam |
| title_fullStr | Practical deep learning for cloud, mobile, and edge real-world AI and computer vision projects using Python, Keras and TensorFlow Anirudh Koul, Siddha Ganju, and Meher Kasam |
| title_full_unstemmed | Practical deep learning for cloud, mobile, and edge real-world AI and computer vision projects using Python, Keras and TensorFlow Anirudh Koul, Siddha Ganju, and Meher Kasam |
| title_short | Practical deep learning for cloud, mobile, and edge |
| title_sort | practical deep learning for cloud mobile and edge real world ai and computer vision projects using python keras and tensorflow |
| title_sub | real-world AI and computer vision projects using Python, Keras and TensorFlow |
| topic | Künstliche Intelligenz (DE-588)4033447-8 gnd Keras Framework, Informatik (DE-588)1160521077 gnd Deep Learning (DE-588)1135597375 gnd Python Programmiersprache (DE-588)4434275-5 gnd TensorFlow (DE-588)1153577011 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Künstliche Intelligenz Keras Framework, Informatik Deep Learning Python Programmiersprache TensorFlow Maschinelles Lernen |
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