Search icon Close icon
Search icon
Subscription
0
Cart icon
Close icon
You have no products in your basket yet
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Hands-On Mathematics for Deep Learning

You're reading from  Hands-On Mathematics for Deep Learning

Product type Book
Published in Jun 2020
Publisher Packt
ISBN-13 9781838647292
Pages 364 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Jay Dawani Jay Dawani
Profile icon Jay Dawani
LinkedIn
Jay Dawani is a former professional swimmer turned mathematician and computer scientist. He is also a Forbes 30 Under 30 Fellow. At present, he is the Director of Artificial Intelligence at Geometric Energy Corporation (NATO CAGE) and the CEO of Lemurian Labs - a startup he founded that is developing the next generation of autonomy, intelligent process automation, and driver intelligence. Previously he has also been the technology and R&D advisor to Spacebit Capital. He has spent the last three years researching at the frontiers of AI with a focus on reinforcement learning, open-ended learning, deep learning, quantum machine learning, human-machine interaction, multi-agent and complex systems, and artificial general intelligence.
See other products by Jay Dawani

Table of Contents (19) Chapters

Preface 1. Section 1: Essential Mathematics for Deep Learning
2. Linear Algebra 3. Vector Calculus 4. Probability and Statistics 5. Optimization 6. Graph Theory 7. Section 2: Essential Neural Networks
8. Linear Neural Networks 9. Feedforward Neural Networks 10. Regularization 11. Convolutional Neural Networks 12. Recurrent Neural Networks 13. Section 3: Advanced Deep Learning Concepts Simplified
14. Attention Mechanisms 15. Generative Models 16. Transfer and Meta Learning 17. Geometric Deep Learning 18. Other Books You May Enjoy

Essential concepts in statistics

While probability allows us to measure and calculate the odds of events or outcomes occurring, statistics allows us to make judgments and decisions given data generated by some unknown probability model. We use the data to learn the properties of the underlying probabilistic model. We call this process parametric inference.

Estimation

In estimation, our objective is given n iid samples with the same distribution as X (the probability model). If the PDF and probability mass function (PMF) is , we need to find θ.

Formally, we define a statistic as an estimate of θ.

A statistic is a function, T, of the data, , so that our estimate is . Therefore, T(x) is the sampling distribution...

lock icon The rest of the chapter is locked
arrow left Previous Chapter
Chapter 1 of 19
Next Chapter arrow right
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Sign up now
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Start free trial
Renews at €14.99/month. Cancel anytime}

Authors (1)

Profile icon Jay Dawani
LinkedIn
Jay Dawani is a former professional swimmer turned mathematician and computer scientist. He is also a Forbes 30 Under 30 Fellow. At present, he is the Director of Artificial Intelligence at Geometric Energy Corporation (NATO CAGE) and the CEO of Lemurian Labs - a startup he founded that is developing the next generation of autonomy, intelligent process automation, and driver intelligence. Previously he has also been the technology and R&D advisor to Spacebit Capital. He has spent the last three years researching at the frontiers of AI with a focus on reinforcement learning, open-ended learning, deep learning, quantum machine learning, human-machine interaction, multi-agent and complex systems, and artificial general intelligence.
Read more
See other products by Jay Dawani

Other recommended products

Related to this chapter
Left arrow icon
Hands-On Java Deep Learning for Computer Vision
Hands-On Java Deep Learning for Computer Vision
This book will take you through the process of efficiently training deep neural networks in Java for Computer Vision-related tasks. You will build real-world applications ranging from simple Java handwritten digit recognition models to real-time autonomous car driving systems and face recognition models using the popular Java-based libraries.
Feb 2019 8 hours 40 minutes
Hands-On Meta Learning with Python
Hands-On Meta Learning with Python
This hands-on guide for meta learning starts with exploring the principles, algorithms, and implementations of Meta learning with Tensorflow, Keras, and Python. Once it sets the foundation of "learning to learn", the book will help you implement your meta learning algorithms from scratch.
Dec 2018 7 hours 32 minutes
Hands-On One-shot Learning with Python
Hands-On One-shot Learning with Python
This book is a step by step guide to one-shot learning using Python-based libraries. It is designed to help you understand and design models that can learn information about your data from one, or only a few, training examples. You will also learn to apply these techniques with real-world examples and datasets for classification and regression.
Apr 2020 5 hours 12 minutes
Hands-On Deep Learning Algorithms with Python
Hands-On Deep Learning Algorithms with Python
This book introduces basic-to-advanced deep learning algorithms used in a production environment by AI researchers and principal data scientists; it explains algorithms intuitively, including the underlying math, and shows how to implement them using popular Python-based deep learning libraries such as TensorFlow.
Jul 2019 17 hours 4 minutes
Practical Convolutional Neural Networks
Practical Convolutional Neural Networks
This book helps you master CNN, from the basics to the most advanced concepts in CNN such as GANs, instance classification and attention mechanism for vision models and more. You will implement advanced CNN models using complex image and video datasets. By the end of the book you will learn CNN’s best practices to implement smart ConvNet models and apply them to solve complex deep learning problems.
Feb 2018 7 hours 16 minutes
Mastering Computer Vision with TensorFlow 2.x
Mastering Computer Vision with TensorFlow 2.x
You will learn the principles of computer vision and deep learning, and understand various models and architectures with their pros and cons. You will learn how to use TensorFlow 2.x to build your own neural network model and apply it to various computer vision tasks such as image acquiring, processing, and analyzing.
May 2020 14 hours 20 minutes
Applying Math with Python
Applying Math with Python
Python has a number of powerful packages to help anyone tackle complex mathematical problems in a simple and efficient way. This practical guide explains how to model real-world problems as mathematical objects in Python and how to perform computations, and interpret results. It explores Python lang to solve a variety of math and statistics problems.
Jul 2020 11 hours 56 minutes
Advanced Deep Learning with Python
Advanced Deep Learning with Python
This book is an expert-level guide to master the neural network variants using the Python ecosystem. You will gain the skills to build smarter, faster, and efficient deep learning systems with practical examples. By the end of this book, you will be up to date with the latest advances and current researches in the deep learning domain.
Dec 2019 15 hours 36 minutes
Deep Learning with PyTorch Quick Start Guide
Deep Learning with PyTorch Quick Start Guide
PyTorch is extremely powerful and yet easy to learn. It provides advanced features such as supporting multiprocessor, distributed and parallel computation. This book is an excellent entry point for those wanting to explore deep learning with PyTorch to harness its power.
Dec 2018 5 hours 16 minutes
Practical Computer Vision
Practical Computer Vision
Computer Vision is a broadly used term associated with acquiring, processing, and analyzing images. This book will show you how you can perform various Computer Vision techniques in the most practical way possible. Right from capturing images from various sources, you will learn how to perform image filtering/manipulation and detect features in your images. As you go through the chapters, you'll work with increasingly complex algorithms to develop complex Computer Vision applications
Feb 2018 7 hours 48 minutes
Hands-On Generative Adversarial Networks with Keras
Hands-On Generative Adversarial Networks with Keras
This book will explore deep learning and generative models, and their applications in artificial intelligence. You will learn to evaluate and improve your GAN models by eliminating challenges that are encountered in real-world applications. You will implement GAN architectures in various domains such as computer vision, NLP, and audio processing
May 2019 9 hours 4 minutes
Hands-On Deep Learning Architectures with Python
Hands-On Deep Learning Architectures with Python
This book explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations to help you understand the concepts and ideas required to build efficient artificial intelligence systems, this book will help you construct deep models using popular frameworks and datasets.
Apr 2019 10 hours 32 minutes
Right arrow icon

Personalised recommendations for you

Based on your interests and search pattern
Left arrow icon
C++ Programming for Linux Systems
C++ Programming for Linux Systems
This book covers the essential system programming tools and helps you explore the features of C++20. It emphasizes important details to maintain code quality and tackle everyday challenges of developing software for high performance, optimization, and more.
Sep 2023 9 hours 36 minutes
Expert C++
Expert C++
Discover advanced programming techniques, the latest features of C++17 and C++20, and best practices for memory management, debugging, testing, and large-scale application design with Expert C++. Ideal for experienced developers advancing to proficient programmers and building professional-grade C++ applications.
Aug 2023 20 hours 8 minutes
iOS 17 Programming for Beginners
iOS 17 Programming for Beginners
iOS 17 Programming for Beginners, Eighth Edition is your comprehensive guide to learning the art of iOS app development. Whether you dream of creating the next chart-topping app or simply want to enhance your programming skills, this book is your trusted companion on this exciting journey.
Oct 2023 20 hours 8 minutes
Developer Career Masterplan
Developer Career Masterplan
Written by industry experts that have spent the last 20+ years helping developers grow their career path towards senior developer positions and beyond. This book provides a comprehensive guide, sharing examples and stories from their global careers. By the end, you’ll have the knowledge to create a clear career progression plan as a technical professional.
Sep 2023 10 hours 20 minutes
Refactoring with C#
Refactoring with C#
In Refactoring with C#, you’ll explore the process of safely refactoring modern .NET code using Visual Studio features, advanced unit tests, AI assistance, and custom Roslyn analyzers.
Nov 2023 14 hours 28 minutes
Python Real-World Projects
Python Real-World Projects
Amplify your developer journey by curating a dynamic project portfolio that outshines traditional resumes. Delve into the Python realm through immersive projects, mastering core concepts while constructing comprehensive modules and applications. From data acquisition prowess to impactful data visualization, Python Real-World Projects arms you with essential skills to beat the competition.
Sep 2023 15 hours 56 minutes
The MVVM Pattern in .NET MAUI
The MVVM Pattern in .NET MAUI
The MVVM Pattern in .NET MAUI enables developers to master MVVM principles and effectively apply them to .NET MAUI. This book uses real-life examples and covers complex problems to help you successfully apply MVVM with .NET MAUI to confidently develop robust and high-performing cross-platform apps.
Nov 2023 12 hours 52 minutes
Extending Microsoft Business Central with Power Platform
Extending Microsoft Business Central with Power Platform
Extending Business Central with the Power Platform is a step-by-step guide for Business Central professionals to create solutions that automate business processes, explain complex workflow approvals, and integrate with hundreds of other systems, without traditional development. It’ll guide you in customizing Business Central with Power Platform.
Aug 2023 15 hours 16 minutes
Extending Microsoft Business Central with Power Platform
Extending Microsoft Business Central with Power Platform
Extending Business Central with the Power Platform is a step-by-step guide for Business Central professionals to create solutions that automate business processes, explain complex workflow approvals, and integrate with hundreds of other systems, without traditional development. It’ll guide you in customizing Business Central with Power Platform.
Aug 2023 15 hours 16 minutes
Quantum Computing Algorithms
Quantum Computing Algorithms
The book emphasizes intuitive ideas behind quantum algorithms in ways that other books don’t cover, striking a careful balance between no math and too much math. To get the most from this book, you should be comfortable with basic algebra and writing simple computer code. No prior understanding of quantum physics is needed to get started.
Sep 2023 11 hours 24 minutes
Python – Complete Python, Django, Data Science and ML Guide
Python – Complete Python, Django, Data Science and ML Guide
Unlock Python's full potential with this 50+ hour course! From programming to web and game development, data manipulation, and machine learning, gain the skills required to succeed in various Python-related careers. With practical tasks, hands-on experience, and a strong foundation in Python, you'll be ready to tackle real-world challenges and take advantage of the many opportunities this versatile language offers.
Nov 2023 50 hours 30 minutes
Python – Complete Python, Django, Data Science and ML Guide
Python – Complete Python, Django, Data Science and ML Guide
Unlock Python's full potential with this 50+ hour course! From programming to web and game development, data manipulation, and machine learning, gain the skills required to succeed in various Python-related careers. With practical tasks, hands-on experience, and a strong foundation in Python, you'll be ready to tackle real-world challenges and take advantage of the many opportunities this versatile language offers.
Nov 2023 50 hours 30 minutes
Right arrow icon