Tag: Deep

Free Download Blockchain and Deep Learning for Smart Healthcare
by Singh, Akansha;Singh, Krishna Kant;
English | 2023 | ISBN: 111979174X | 470 pages | True PDF | 14.91 MB

Free Download Python for Computer Vision with OpenCV and Deep Learning
Last updated 3/2021
Duration: 14h 5m | Video: .MP4, 1920×1080 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 5.45 GB
Genre: eLearning | Language: English
Learn the latest techniques in computer vision with Python , OpenCV , and Deep Learning!

Free Download PyTorch for Deep Learning with Python Bootcamp
Last updated 9/2023
Duration: 17h 1m | Video: .MP4, 1280×720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 7.01 GB
Genre: eLearning | Language: English
Learn how to create state of the art neural networks for deep learning with Facebook’s PyTorch Deep Learning library!

Free Download The 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023)
English | 2023 | ISBN: 303142316X | 261 Pages | PDF EPUB (True) | 21 MB
This book constitutes refereed articles which present research work on new and emerging topics such as distributed ledger technology, blockchains and architectures, smart cities, machine learning and deep learning techniques and application areas such as flight pricing, energy demand and healthcare.

Free Download Software Development From A to Z: A Deep Dive into all the Roles Involved in the Creation of Software by Olga Filipova
English | October 12, 2018 | ISBN: 148423944X | 306 pages | MOBI | 11 Mb
Understand the big picture of the software development process. We use software every day – operating systems, applications, document editing programs, home banking – but have you ever wondered who creates software and how it’s created? This book guides you through the entire process, from conception to the finished product with the aid of user-centric design theory and tools.

Free Download Python Machine Learning:
Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition
by Sebastian Raschka

Free Download Number Systems for Deep Neural Network Architectures
English | 2024 | ISBN: 3031381327 | 164 Pages | PDF EPUB (True) | 11.3 MB
This book provides readers a comprehensive introduction to alternative number systems for more efficient representations of Deep Neural Network (DNN) data. Various number systems (conventional/unconventional) exploited for DNNs are discussed, including Floating Point (FP), Fixed Point (FXP), Logarithmic Number System (LNS), Residue Number System (RNS), Block Floating Point Number System (BFP), Dynamic Fixed-Point Number System (DFXP) and Posit Number System (PNS). The authors explore the impact of these number systems on the performance and hardware design of DNNs, highlighting the challenges associated with each number system and various solutions that are proposed for addressing them.

Free Download Microsoft Power Platform A Deep Dive: Dig into Power Apps, Power Automate, Power BI, and Power Virtual Agents (English Edition) by Bijay Kumar Sahoo, Preeti Sahu, Sonam Subhadarsini
English | October 10, 2022 | ISBN: 9355511086 | 710 pages | PDF | 22 Mb
Build data-driven business solutions with the Microsoft Power Platform

Free Download Mathematics for Machine Learning: A Deep Dive into Algorithms
English | 2023 | ASIN : B0CGMVTWQW | 320 Pages | EPUB | 1.2 MB
"Mathematics for Machine Learning: A Deep Dive into Algorithms" is a comprehensive guide that bridges the gap between mathematical theory and practical applications in the dynamic world of machine learning. Whether you’re a data science enthusiast, a budding machine learning engineer, or a seasoned practitioner, this book equips you with the essential mathematical foundations that power cutting-edge algorithms and data-driven insights.

Free Download Fundamentals of Deep Learning and Computer Vision: A Complete Guide to become an Expert in Deep Learning and Computer Vision (English Edition) by Nikhil Singh, Paras Ahuja
English | February 25, 2020 | ISBN: 9388511859 | 236 pages | PDF | 15 Mb
Master Computer Vision concepts using Deep Learning with easy-to-follow steps