Python Deep Learning Projects
9 projects demystifying neural network and deep learning models for building intelligent systems
Price | $16.45 - $44.99
|
Rating | |
Authors | Matthew Lamons, Rahul Kumar, Abhishek Nagaraja |
Publisher | Packt Publishing |
Published | 2018 |
Pages | 472 |
Language | English |
Format | Paper book / ebook (PDF) |
ISBN-10 | 1788997093 |
ISBN-13 | 9781788997096 |
Deep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier.
Python Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. Each of these projects is unique, helping you progressively master the subject. You'll learn how to implement a text classifier system using a recurrent neural network (RNN) model and optimize it to understand the shortcomings you might experience while implementing a simple deep learning system.
Similarly, you'll discover how to develop various projects, including word vector representation, open domain question answering, and building chatbots using seq-to-seq models and language modeling. In addition to this, you'll cover advanced concepts, such as regularization, gradient clipping, gradient normalization, and bidirectional RNNs, through a series of engaging projects.
By the end of this book, you will have gained knowledge to develop your own deep learning systems in a straightforward way and in an efficient way.
- Matthew Lamons (2 books)
- Rahul Kumar (2 books)
- Abhishek Nagaraja
5 5 3
Similar Books
by Md. Rezaul Karim
Java is one of the most widely used programming languages. With the rise of deep learning, it has become a popular choice of tool among data scientists and machine learning experts.Java Deep Learning Projects starts with an overview of deep learning concepts and then delves into advanced projects. You will see how to build several project...
Price: $49.99 | Publisher: Packt Publishing | Release: 2018
Python Machine Learning Projects
by Lisa Tagliaferri, Michelle Morales, Ellie Birkbeck, Alvin Wan
As machine learning is increasingly leveraged to find patterns, conduct analysis, and make decisions - sometimes without final input from humans who may be impacted by these findings - it is crucial to invest in bringing more stakeholders into the fold. This book of Python projects in machine learning tries to do just that: to equip the d...
Free ebook | Publisher: DigitalOcean | Release: 2019
Deep Learning and the Game of Go
by Max Pumperla, Kevin Ferguson
Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game.The ancient strategy game of Go is an incredible case...
Price: $46.05 | Publisher: Manning | Release: 2019
R Deep Learning Essentials, 2nd Edition
by Mark Hodnett, Joshua F. Wiley
Deep learning is a powerful subset of machine learning that is very successful in domains such as computer vision and natural language processing (NLP). This second edition of R Deep Learning Essentials will open the gates for you to enter the world of neural networks by building powerful deep learning models using the R ecosystem.This bo...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
Deep Learning for Natural Language Processing
by Palash Goyal, Sumit Pandey, Karan Jain
Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models.You'll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP...
Price: $31.93 | Publisher: Apress | Release: 2018
by Nihkil Ketkar
Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This new edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Faceboo...
Price: $32.99 | Publisher: Apress | Release: 2020
Practical MATLAB Deep Learning, 2nd Edition
by Michael Paluszek, Stephanie Thomas, Eric Ham
Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, you'll see how these toolboxes provide the complete set of functions needed to implement a...
Price: $41.19 | Publisher: Apress | Release: 2022
Applied Deep Learning with TensorFlow 2, 2nd Edition
by Umberto Michelucci
Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects.This book is designed so that you can focus on the parts you are int...
Price: $48.23 | Publisher: Apress | Release: 2022