Practical Deep Learning For Cloud, Mobile, And Edge

Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow

Anirudh Koul, Siddha Ganju, Meher Kasam, "Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow"
English | ISBN: 149203486X | 2019| PDF | 620 pages | 129 MB
Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow

Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow by Anirudh Koul, Siddha Ganju, Meher Kasam
English | October 14, 2019 | ASIN : B07Z7957PL, ISBN: 149203486X | MOBI | 620 pages | 238 MB
Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow

Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow by Anirudh Koul, Siddha Ganju, Meher Kasam
English | October 14th, 2019 | ISBN: 149203486X | 620 pages | EPUB | 132.36 MB

Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach.

Practical Deep Learning for Cloud, Mobile, and Edge, Third Release (Early Release)  eBooks & eLearning

Posted by readerXXI at Jan. 8, 2020
Practical Deep Learning for Cloud, Mobile, and Edge, Third Release (Early Release)

Practical Deep Learning for Cloud, Mobile, and Edge : Real-World AI &
Computer-Vision Projects Using Python, Keras & TensorFlow, Third Release (Early Release)

by Anirudh Koul, Siddha Ganju
English | 2019 | ISBN: 149203486X | 602 Pages | PDF | 134 MB

Deep Learning with TensorFlow and Keras (Repost)  eBooks & eLearning

Posted by DZ123 at Oct. 2, 2023
Deep Learning with TensorFlow and Keras (Repost)

Sujit Pal, "Deep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition"
English | 2022 | ISBN: 1803232919 | EPUB | pages: 698 | 49.1 mb

Big-Data Analytics for Cloud, IoT and Cognitive Learning  eBooks & eLearning

Posted by readerXXI at Aug. 14, 2017
Big-Data Analytics for Cloud, IoT and Cognitive Learning

Big-Data Analytics for Cloud, IoT and Cognitive Learning
by Kai Hwang and Min Chen
English | 2017 | ISBN: 1119247020 | 428 Pages | True PDF | 21 MB

Deep Learning with TensorFlow and Keras  eBooks & eLearning

Posted by Free butterfly at Nov. 14, 2023
Deep Learning with TensorFlow and Keras

Deep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition by Amita Kapoor, Antonio Gulli, Sujit Pal
English | October 6, 2022 | ISBN: 1803232919 | 698 pages | PDF | 25 Mb
Deep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3e

Deep Learning with TensorFlow and Keras
by Kapoor, Amita;Gulli, Antonio;Pal, Sujit;Chollet, Francois;

English | 2022 | ISBN: ‎ 1803232919 | 699 pages | True PDF | 25.5 MB

Hands-on TinyML: Harness the power of Machine Learning on the edge devices  eBooks & eLearning

Posted by yoyoloit at Aug. 18, 2023
Hands-on TinyML: Harness the power of Machine Learning on the edge devices

Hands-On TinyML
by Banerjee, Rohan;

English | 2023 | ISBN: 9355518447 | 308 pages | True PDF | 32.32 MB

Hands-on TinyML: Harness the power of Machine Learning on the edge devices (English Edition)  eBooks & eLearning

Posted by Free butterfly at March 22, 2024
Hands-on TinyML: Harness the power of Machine Learning on the edge devices (English Edition)

Hands-on TinyML: Harness the power of Machine Learning on the edge devices (English Edition) by Rohan Banerjee
English | June 9, 2023 | ISBN: 9355518447 | 306 pages | MOBI | 5.09 Mb