Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
Private Book Reader
Upload and read your personal PDF books in our secure reader
Read Your Private BookShort Audio Book Summary
Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning Summary
0:00 / 0:00🧠 Discussion
Apr 24, 2025
Libraries
.jpg)
.jpg)
.jpeg)
.jpeg)
.jpeg)
.jpg)
.jpg)
.jpg)
.jpeg)
.jpg)
.jpeg)
.png)
.jpg)
Reviews
No review yet. Be the first to review this book!
Description
"Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning" sounds like a comprehensive guide aimed at providing readers with a foundational understanding of the mathematical principles underlying deep learning. Such a book would likely cover topics such as linear algebra, calculus, probability theory, and optimization methods, all of which are crucial for understanding the workings of neural networks and other AI algorithms. The book might start with an introduction to basic mathematical concepts and then gradually delve into more advanced topics specific to deep learning, such as backpropagation, gradient descent, activation functions, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs), among others. Additionally, it may include practical examples, exercises, and code snippets to help readers apply the mathematical concepts to real-world AI problems. Overall, such a resource would serve as a valuable tool for students, researchers, and practitioners looking to gain a deeper understanding of the mathematical foundations of deep learning.
You May Also Like
Human Compatible
by Stuart Russell
People Like (5)
Artificial Intelligence: A Modern Approach
by Stuart Russell and Peter Norvig
People Like (3)
Life 3.0
by Max Tegmark,
People Like (9)
Artificial Intelligence: A Guide for Thinking Humans
by Melanie Mitchell
People Like (31)
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
by Pedro Domingos
People Like (1)
Deep learning
by tructure and function of the brain's neural networks
People Like (11)
The Alignment Problem: Machine Learning and Human Values
by Brian Christian
People Like (0)
The Hundred-Page Machine Learning Book
by Andriy Burkov
People Like (2)
AI 2041: Ten Visions for Our Future
by Kai-Fu Lee and Chen Qiufan
People Like (0)
Artificial Intelligence for Humans
by Jeff Heaton
People Like (2)
Artificial Intelligence for Humans volume 2
by Jeff Heaton,
People Like (2)Artificial Intelligence for Humans volume 3
by Jeff Heaton
People Like (2)
The Society of Mind
by Marvin Minsky
People Like (1)
Applied Artificial Intelligence: A Handbook for Business Leaders
by Mariya Yao, Adelyn Zhou
People Like (4)
The Singularity Is Near: When Humans Transcend Biology
by Ray Kurzweil
People Like (2)
Gödel, Escher, Bach: an Eternal Golden Braid
by Douglas Hofstadter
People Like (1)
AI Superpowers
by Kai-Fu Lee
People Like (5)
Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence
by Kate Crawford
People Like (6)
Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies
by John D.
People Like (3)
Artificial Intelligence for Dummies
by John Paul Mueller and Luca Massaron.
People Like (2)Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
by James V. Stone
People Like (2)
Artificial Intelligence Basics: A Non-Technical Introduction
by Tom Taulli
People Like (6)
Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World
by Cade Metz
People Like (0)
Artificial Intelligence By Example: Acquire Advanced AI, Machine Learning, and Deep Learning Design Skills, 2nd Edition
by Denis Rothman
People Like (12)
Neural Networks and Deep Learning: A Textbook
by renowned
People Like (2)
Make Your Own Neural Work
by Tariw Rashid
People Like (0)
A World Without Work
by Daniel Susskind
People Like (0)
Machine Learning: The New AI
by Ethem Alpaydín
People Like (17)
On Intelligence
by Jeff Hawkins
People Like (2)
The Sentient Machine: The Coming Age of Artificial Intelligence
by Amir Husain
People Like (0)
The Emotion Machine
by Marvin Minsky
People Like (3)
AI Algorithms, Data Structures, and Idioms in Prolog, Lisp, and Java
by William A. Stubblefield, George F. Luger
People Like (1)