Programming
Reader small image

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

Product typeBook
Published inJun 2020
Reading LevelIntermediate
PublisherPackt
ISBN-139781838647292
Edition1st Edition
Languages
Python
Tools
PandasTensorFlow
Concepts
Mathematical Programming
Right arrow
Author (1)
Jay Dawani
Jay Dawani
author image
Jay Dawani

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 about Jay Dawani

Right arrow

Summary

Congratulations! We have just finished learning about a powerful variant of neural networks known as CNNs, which are very effective in tasks relating to computer vision and time-series prediction. We will revisit CNNs later on in this book, but in the meantime, let's move on to the next chapter and learn about recurrent and recursive neural networks.

lock icon
The rest of the page is locked
Previous Page
Chapter 12 of 19, Page 8
Next Chapter
You have been reading a chapter from
Hands-On Mathematics for Deep Learning
Published in: Jun 2020Publisher: PacktISBN-13: 9781838647292
© 2020 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Jay Dawani

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 about Jay Dawani

Other recommended products

Related to this chapter

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.

BookFeb 2019260 pages
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.

BookDec 2018226 pages
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.

BookApr 2020156 pages
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.

BookJul 2019512 pages
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.

BookFeb 2018218 pages
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.

BookMay 2020430 pages
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.

BookJul 2020358 pages
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.

BookDec 2019468 pages
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.

BookDec 2018158 pages
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

BookFeb 2018234 pages
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

BookMay 2019272 pages
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.

BookApr 2019316 pages

Personalised recommendations for you

Based on your interests and search pattern

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.

BookSep 2023288 pages
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.

BookAug 2023604 pages
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.

BookOct 2023604 pages4
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.

BookSep 2023310 pages
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.

BookNov 2023434 pages
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.

BookSep 2023478 pages5
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.

BookNov 2023386 pages
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.

BookAug 2023458 pages5
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.

BookAug 2023458 pages5
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.

BookSep 2023342 pages
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.

VideoNov 202350 hours 30 minutes5
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.

VideoNov 202350 hours 30 minutes5