Free Download Back from the Deep: How Gene and Sandy Ralston Serve the Living by Finding the Dead by Doug Horner
English | March 12th, 2024 | ISBN: 1586423843 | 320 pages | True EPUB | 1.37 MB
The dramatic story of an unlikely search and recovery duo who help law enforcement and grieving families with their uncanny knack for locating bodies underwater

Free Download Boris Dorschel, Andrew J. Wheeler, Xavier Monteys, "Atlas of the Deep-Water Seabed: Ireland"
English | 2011 | pages: 167 | ISBN: 904819377X, 9048193753 | PDF | 44,6 mb
Presented in an accessible, user-friendly format, this atlas sets out all the major features revealed during one of the largest ever deep-sea mapping campaigns. A unique insight into the morphology of the seabed along the continental margin of the North-East Atlantic, it reveals for the first time many features that have hitherto been hidden beneath the waves. It is organised both thematically and by region, with the sea floor and its biological hotspots - areas of high biodiversity such as seamounts - shown at a resolution not possible before. The atlas presents everything from submarine canyons to coral carbonate mounds, using digital terrain models generated from multibeam data and photographs taken from unmanned deep-water vehicles (ROVs).

Free Download Kotlin Coroutines Deep Dive (2024)
Released 3/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Advanced | Genre: eLearning | Language: English + vtt | Duration: 5h 36m | Size:
This course will touch on the internals of coroutines, and teach you how to use channels and flows inside your Android application

Free Download Build 15+ Real–Time Deep Learning(Computer Vision) Projects
Published 3/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.84 GB | Duration: 9h 45m
CNN,GAN,Transfer Learning, Data Augmentation/Annotation, Deepfake, YOLO ,Face recognition,object detection,tracking

Free Download Deep Dive into Patanjali's Yoga Sutras (Ch 01; Samadhi Pada)
Published 3/2024
Created by Sandeep Karode
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 10 Lectures ( 11h 5m ) | Size: 11.8 GB

Free Download Building Deep Learning Applications with Keras
Released 3/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 50m | Size: 283 MB
Keras, a high-level neural networks API, is gaining popularity for its ease of use and versatility. With businesses rapidly moving towards AI solutions, you need an understanding of this valuable tool. In this course, data scientist Isil Berkun introduces you to Keras, highlights integrating it with TensorFlow and Theano backends, and offers practical insights into creating neural networks. Learn how to set up Keras, create neural networks, and use pre-trained models. Find out how to deploy models on platforms like Google Cloud. When you complete this course, you will be able to understand the Keras architecture, design and train deep learning models, and utilize them for real-world applications.

Size: 290.06 MB | Total Duration: 02:04:46 | Total Tracks: 38
Format: MPEG Audio | 320 Kbps
Album: Deep Talks
Artist: VA
Genre: Pop, Rock, Alternatif et Indé
Date/Year: 2024

Free Download Game Design Deep Dive; Soulslike
by Joshua Bycer
English | 2024 | ISBN: 1032581158 | 175 pages | True PDF | 77.12 MB

Free Download William Byers, "Deep Thinking: What Mathematics Can Teach Us About The Mind"
English | ISBN: 9814618039 | 2014 | 262 pages | EPUB | 759 KB
There is more than one way to think. Most people are familiar with the systematic, rule-based thinking that one finds in a mathematical proof or a computer program. But such thinking does not produce breakthroughs in mathematics and science nor is it the kind of thinking that results in significant learning. Deep thinking is a different and more basic way of using the mind. It results in the discontinuous "aha!" experience, which is the essence of creativity. It is at the heart of every paradigm shift or reframing of a problematic situation.The identification of deep thinking as the default state of the mind has the potential to reframe our current approach to technological change, education, and the nature of mathematics and science. For example, there is an unbridgeable gap between deep thinking and computer simulations of thinking. Many people suspect that such a gap exists, but find it difficult to make this intuition precise. This book identifies the way in which the authentic intelligence of deep thinking differs from the artificial intelligence of "big data" and "analytics".Deep thinking is the essential ingredient in every significant learning experience, which leads to a new way to think about education. It is also essential to the construction of conceptual systems that are at the heart of mathematics and science, and of the technologies that shape the modern world. Deep thinking can be found whenever one conceptual system morphs into another.The sources of this study include the cognitive development of numbers in children, neuropsychology, the study of creativity, and the historical development of mathematics and science. The approach is unusual and original. It comes out of the author's lengthy experience as a mathematician, teacher, and writer of books about mathematics and science, such as How Mathematicians Think: Using Ambiguity, Contradiction, and Paradox to Create Mathematics and The Blind Spot: Science and the Crisis of Uncertainty.

Free Download Deep Learning for Numerical Applications with SAS® By Henry Bequet
2018 | 234 Pages | ISBN: 1635266807 | PDF | 23 MB
Foreword by Oliver Schabenberger, PhD Executive Vice President, Chief Operating Officer and Chief Technology OfficerSAS Dive into deep learning! Machine learning and deep learning are ubiquitous in our homes and workplaces-from machine translation to image recognition and predictive analytics to autonomous driving. Deep learning holds the promise of improving many everyday tasks in a variety of disciplines. Much deep learning literature explains the mechanics of deep learning with the goal of implementing cognitive applications fueled by Big Data. This book is different. Written by an expert in high-performance analytics, Deep Learning for Numerical Applications with SAS® introduces a new field: Deep Learning for Numerical Applications (DL4NA). Contrary to deep learning, the primary goal of DL4NA is not to learn from data but to dramatically improve the performance of numerical applications by training deep neural networks. Deep Learning for Numerical Applications with SAS® presents deep learning concepts in SAS along with step-by-step techniques that allow you to easily reproduce the examples on your high-performance analytics systems. It also discusses the latest hardware innovations that can power your SAS programs: from many-core CPUs to GPUs to FPGAs to ASICs. This book assumes the reader has no prior knowledge of high-performance computing, machine learning, or deep learning. It is intended for SAS developers who want to develop and run the fastest analytics. In addition to discovering the latest trends in hybrid architectures with GPUs and FPGAS, readers will learn how to Use deep learning in SAS Speed up their analytics using deep learning Easily write highly parallel programs using the many task computing paradigms For sample material and supporting resources, please see the author's page. This book is part of the SAS Press program.