Rating: 0 out of 5 stars
0 ratings
Audiobook2 hours
Neural Networks: Neural Networks Tools and Techniques for Beginners
Written by John Slavio
Narrated by Russell Archey
Rating: 0 out of 5 stars
()
About this audiobook
Are you looking to get a better understanding of neural networks and their applications? Neural networks are used to model complex patterns for prediction and simulation. It uses the processing pattern used by brain neurons to achieve this. Neural Networks are good at processing complex , non-linear relationships and are used in forecasting, image processing and character recognition.
More audiobooks from John Slavio
Amazon Dash Buttons: Reorder Your Favorite Amazon Items with Amazon Dash Buttons Machine Learning for Beginners: An Introduction to Artificial Intelligence and Machine Learning Rating: 2 out of 5 stars2/5
Related to Neural Networks
Related audiobooks
Machine Learning: Deep Learning, Text Analytics, and Reinforcement Learning with Big Data Rating: 4 out of 5 stars4/5Deep Learning Rating: 4 out of 5 stars4/5Nine Algorithms That Changed the Future: The Ingenious Ideas That Drive Today's Computers Rating: 5 out of 5 stars5/5Algorithm Rating: 4 out of 5 stars4/5Computational Thinking Rating: 4 out of 5 stars4/5Artificial Intelligence Rating: 4 out of 5 stars4/5Deep Learning: Guide to Machine Learning and Artificial Intelligence Rating: 5 out of 5 stars5/5Deep Learning for Beginners: 2 in 1 Rating: 0 out of 5 stars0 ratingsArtificial Intelligence: Easily Explained For Beginners Rating: 4 out of 5 stars4/5Quantum Computing Rating: 4 out of 5 stars4/5Machine Learning in Python: Hands on Machine Learning with Python Tools, Concepts and Techniques Rating: 5 out of 5 stars5/5Machine Learning: The New AI Rating: 4 out of 5 stars4/5Deep Learning: Guide for Machine Learning, Neural Networks, and Data Analytics Rating: 4 out of 5 stars4/5Cloud Computing Rating: 4 out of 5 stars4/5AI and Machine Learning for On-Device Development: A Programmer's Guide, 1st Edition Rating: 0 out of 5 stars0 ratingsAn Introduction to Information Theory: Symbols, Signals and Noise Rating: 4 out of 5 stars4/5Deep Learning: Machine Learning and Data Analytics Explained Rating: 5 out of 5 stars5/5Internet of Things Rating: 4 out of 5 stars4/5Artificial Intelligence: From Medieval Robots to Neural Networks Rating: 4 out of 5 stars4/5Computing: A Concise History Rating: 4 out of 5 stars4/5The Internet Things Rating: 4 out of 5 stars4/5Python ML: Clear Step-by-Step Guide to Ma-chine Learning with Python Rating: 5 out of 5 stars5/5Architects of Intelligence: The truth about AI from the people building it Rating: 5 out of 5 stars5/5Artificial Intelligence: The Complete Beginner’s Guide to the Future of A.I. Rating: 4 out of 5 stars4/5The Deep Learning Revolution Rating: 4 out of 5 stars4/5
Intelligence (AI) & Semantics For You
Artificial Intelligence For Dummies Rating: 4 out of 5 stars4/5Ways of Being: Animals, Plants, Machines: The Search for a Planetary Intelligence Rating: 5 out of 5 stars5/5Non-Computable You: What You Do That Artificial Intelligence Never Will Rating: 0 out of 5 stars0 ratingsWelcome to AI: A Human Guide to Artificial Intelligence Rating: 0 out of 5 stars0 ratingsScary Smart: The Future of Artificial Intelligence and How You Can Save Our World Rating: 5 out of 5 stars5/5Artificial Intelligence, Real Profits: Mastering ChatGPT-4 for Business Marketing Rating: 4 out of 5 stars4/5Just Prompt It: Incorporating Chat GPT's GPT-4 Into Your Daily Life Rating: 4 out of 5 stars4/5Raspberry PI: The Next Step with Raspberry Pi: A Journey into Intermediate Programming and System Design Rating: 0 out of 5 stars0 ratingsThe Emperor's New Mind: Concerning Computers, Minds, and the Laws of Physics Rating: 4 out of 5 stars4/5How To: GPT-4 for Financial Freedom: The Entrepreneur's Guide to Thriving in the AI Era Rating: 4 out of 5 stars4/5AI Ethics Rating: 4 out of 5 stars4/5Who's Afraid of AI?: Fear and Promise in the Age of Thinking Machines Rating: 5 out of 5 stars5/5Artificial Intelligence: The Insights You Need from Harvard Business Review Rating: 5 out of 5 stars5/5The Only ChatGPT Book You Will Ever Need (Updated for GPT4): Making Money Online has Become so EASY Rating: 0 out of 5 stars0 ratingsArchitects of Intelligence: The truth about AI from the people building it Rating: 5 out of 5 stars5/5The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World Rating: 5 out of 5 stars5/5A Brief History of Artificial Intelligence: What It Is, Where We Are, and Where We Are Going Rating: 4 out of 5 stars4/5Army of None: Autonomous Weapons and the Future of War Rating: 4 out of 5 stars4/5ChatGPT BIBLE: The Untold Potential of Conversational AI: Secrets Revealed for Unlocking Hidden Opportunities to Make Money Online Rating: 0 out of 5 stars0 ratingsThe AI Advantage: How to Put the Artificial Intelligence Revolution to Work Rating: 4 out of 5 stars4/5Artificial Intelligence: A Guide for Thinking Humans Rating: 5 out of 5 stars5/52084: Artificial Intelligence and the Future of Humanity Rating: 4 out of 5 stars4/5Artificial Intelligence: The Complete Beginner’s Guide to the Future of A.I. Rating: 4 out of 5 stars4/5The Smart Nonprofit: Staying Human-Centered in An Automated World Rating: 4 out of 5 stars4/5HBR's 10 Must Reads on AI, Analytics, and the New Machine Age Rating: 5 out of 5 stars5/5Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence Rating: 5 out of 5 stars5/5
Related podcast episodes
#51 Francois Chollet - Intelligence and Generalisation 0% found this document usefulMeasuring Your Python Learning Progress 100% found this document useful41. Bob Nystrom 0% found this document usefulLearning Python Through Illustrated Stories 0% found this document usefulArduino Course for Absolute Beginners 2nd Edition 100% found this document usefulAdvantages of Completing Small Python Projects 0% found this document usefulFrom ML to AI to Generative AI: get Fully-Connected with Chris & Daniel 100% found this document usefulExploring deep reinforcement learning: with Thomas Simonini of Hugging Face 0% found this document useful#10 Exploratory Analysis of Bayesian Models, with ArviZ and Ari Hartikainen 0% found this document useful#125 - Patterns for API Design - Daniel Luebke 0% found this document usefulEngineering interview tips & tricks: with Emma Draper & Jonas 0% found this document useful
Related articles
Luminar 4 Macworld UKArticle
Luminar 4
Feb 14, 2020
Price: £81 from fave.co/2S75hXB Artificial intelligence and machine learning have made a huge impact on software in recent years, but nowhere more prominently than digital photography. Any image-editing app worth its salt has implemented at least a
3 min readHow Image Recognition Works APCArticle
How Image Recognition Works
Nov 4, 2019
4 min readA.I.-POWERED RASPBERRY Pi Linux FormatArticle
A.I.-POWERED RASPBERRY Pi
Sep 19, 2023
1 min readThe Fundamental Limits of Machine Learning NautilusArticle
The Fundamental Limits of Machine Learning
Sep 20, 2016
5 min readAI Overcomes Stumbling Block on Brain-Inspired Hardware NautilusArticle
AI Overcomes Stumbling Block on Brain-Inspired Hardware
Feb 22, 2022
Today’s most successful artificial intelligence algorithms, artificial neural networks, are loosely based on the intricate webs of real neural networks in our brains. But unlike our highly efficient brains, running these algorithms on computers guzzl
4 min readWhy You Should Believe in the Digital Afterlife The AtlanticArticle
Why You Should Believe in the Digital Afterlife
Jul 14, 2016
10 min readMicrochips Use ‘Sparse Coding’ to Recognize Objects Like We Do FuturityArticle
Microchips Use ‘Sparse Coding’ to Recognize Objects Like We Do
May 26, 2017
3 min readMaya 3D WorldArticle
Maya
Jan 25, 2022
3 min read‘Deep Learning’ Goes Faster With Organized Data FuturityArticle
‘Deep Learning’ Goes Faster With Organized Data
Jun 5, 2017
Researchers have found that a technique for speedy data lookup, called hashing, can dramatically reduce the amount of computation required for deep learning, a demanding form of machine learning. “This applies to any deep-learning architecture, and t
2 min readAI Networks Based On Real Human Brains Perform Better FuturityArticle
AI Networks Based On Real Human Brains Perform Better
Aug 11, 2021
1 min readFor More Trustworthy AI, We May Need an ‘Interpreter’ FuturityArticle
For More Trustworthy AI, We May Need an ‘Interpreter’
Jul 6, 2017
A team of researchers is working to build trust between humans and artificial intelligence (AI) by creating an “interpreter” that can explain how an AI arrived at the answer to a specific question. In an age of self-driving cars and autonomous drones
4 min readWhy AI Lags Behind the Human Brain in Computational Power NautilusArticle
Why AI Lags Behind the Human Brain in Computational Power
Oct 27, 2021
3 min readResearchers Discover a More Flexible Approach to Machine Learning NautilusArticle
Researchers Discover a More Flexible Approach to Machine Learning
Feb 10, 2023
4 min read1 Elon Musk’s Neuralink and its Functionalities TechfastlyArticle
1 Elon Musk’s Neuralink and its Functionalities
Nov 30, 2020
4 min readHow Do I View A Multi-part Exr In Nuke? 3D WorldArticle
How Do I View A Multi-part Exr In Nuke?
Jul 11, 2023
1 min readLaser Scanner Calibration 3D WorldArticle
Laser Scanner Calibration
Nov 7, 2023
1 min readNeural Networks Maximum PCArticle
Neural Networks
Aug 17, 2021
Computer scientists have been dabbling with neural networks since the 1950s. Back then, researchers in the field predicted the technology would lead to machines capable of walking, talking, consciousness, and even self-replication. If that seems like
1 min readNeural Networks APCArticle
Neural Networks
Sep 6, 2021
1 min read
Reviews for Neural Networks
Rating: 0 out of 5 stars
0 ratings
0 ratings0 reviews