E-Books → Deep Dive into Power Automate
Published by: voska89 on 29-12-2023, 04:25 | 0
Free Download Deep Dive into Power Automate: Learn by Example
English | 2023 | ISBN: 1484297318 | 538 Pages | PDF EPUB (True) | 79 MB
The book starts with an introduction to flow and its transformation to Process Automation. You will learn how to create a Power Automate environment and demonstrate different types of flows within it. Author Goloknath Mishra takes you through various types of cloud flows and their best practices. Desktop Flows (RPA) or Power Automate Desktop (PAD) is discussed and the author teaches you its architecture, installation steps, and how to manage, schedule, and share a desktop. You will learn about Business Process Flow, Process Advisors, and AI Builder. You also will go through licensing considerations in Power Automate and AI Builder, and demonstrate all of your learnings through a mini project.
E-Books → Advances in Deep Generative Models for Medical Artificial Intelligence
Published by: voska89 on 29-12-2023, 01:56 | 0
Free Download Advances in Deep Generative Models for Medical Artificial Intelligence
English | 2023 | ISBN: 3031463404 | 446 Pages | PDF EPUB (True) | 43 MB
Generative Artificial Intelligence is rapidly advancing with many state-of-the-art performances on computer vision, speech processing, and natural language processing tasks. Generative adversarial networks and neural diffusion models can generate high-quality synthetic images of human faces, artworks, and coherent essays on different topics. Generative models are also transforming Medical Artificial Intelligence, given their potential to learn complex features from medical imaging and healthcare data. Hence, computer-aided diagnosis and healthcare are benefiting from Medical Artificial Intelligence and Generative Artificial Intelligence.
E-Books → The Science of Deep Learning
Published by: voska89 on 28-12-2023, 05:18 | 0
Free Download The Science of Deep Learning
by Iddo Drori
English | 2023 | ISBN: 1108835082 | 362 pages | True PDF | 50.48 MB
E-Books → Python Deep Learning Understand how deep neural networks work and apply them to real–world tasks, 3rd Edition
Published by: voska89 on 28-12-2023, 04:04 | 0
Free Download Python Deep Learning
by Vasilev, Ivan;
English | 2023 | ISBN: 1837638500 | 362 pages | True PDF | 53.7 MB
E-Books → Machine and Deep Learning Using MATLAB Algorithms and Tools for Scientists and Engineers
Published by: voska89 on 28-12-2023, 03:23 | 0
Free Download Machine and Deep Learning Using MATLAB
by Al-Malah, Kamal I. M.;
English | 2023 | ISBN: 1394209088 | 590 pages | True PDF | 50.39 MB
E-Books → From Deep Learning to Rational Machines What the History of Philosophy Can Teach Us about the Future of Artificial Intelligenc
Published by: voska89 on 28-12-2023, 02:35 | 0
Free Download From Deep Learning to Rational Machines
by Buckner, Cameron J.;
English | 2023 | ISBN: 0197653308 | 301 pages | True PDF EPUB | 13.97 MB
E-Books → Demystifying Deep Learning An Introduction to the Mathematics of Neural Networks
Published by: voska89 on 28-12-2023, 02:03 | 0
Free Download Demystifying Deep Learning
by Douglas J. Santry
English | 2024 | ISBN: 1394205600 | 259 pages | True PDF | 5.51 MB
E-Books → Deep Learning for Multimedia Processing Applications Volume Two Signal Processing and Pattern Recognition
Published by: voska89 on 28-12-2023, 02:03 | 0
Free Download Deep Learning for Multimedia Processing Applications; Volume Two; 1
by Bhatti Uzair Aslam
English | 2024 | ISBN: 1032623349 | 481 pages | True PDF | 29.61 MB
E-Books → Deep Learning for Multimedia Processing Applications Volume 1 Image Security and Intelligent Systems for Multimedia Processin
Published by: voska89 on 28-12-2023, 02:03 | 0
Free Download Deep Learning for Multimedia Processing Applications; Volume One; 1
by Bhatti Uzair Aslam
English | 2024 | ISBN: 103254824X | 313 pages | True PDF | 31.75 MB
E-Books → Deep Learning For Physics Research
Published by: voska89 on 28-12-2023, 02:03 | 0
Free Download Deep Learning for Physics Research (339 Pages)
by Martin Erdmann, Jonas Glombitza, Gregor Kasieczka and Uwe Klemradt
English | 2021 | ISBN: 981123745X | 340 pages | True PDF | 18.36 MB