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Python Deep Learning Projects - 9 projects demystifying neural network and deep learning models for building intelligent systems
Matthew Lamons; Rahul Kumar; Abhishek Nagaraja
Packt Publishing Limited (2018)
Saatavuus: Tilaustuote
Pehmeäkantinen kirja
55,80
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Python: Beginner's Guide to Artificial Intelligence - Build applications to intelligently interact with the world around you usi
Denis Rothman; Matthew Lamons; Rahul Kumar; Abhishek Nagaraja; Amir Ziai; Ankit Dixit
Packt Publishing Limited (2018)
Saatavuus: Hankintapalvelu
Pehmeäkantinen kirja
106,30
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Python Deep Learning Projects - 9 projects demystifying neural network and deep learning models for building intelligent systems
55,80 €
Packt Publishing Limited
Sivumäärä: 472 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2018, 31.10.2018 (lisätietoa)
Kieli: Englanti
Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

Explore deep learning across computer vision, natural language processing (NLP), and image processing
Discover best practices for the training of deep neural networks and their deployment
Access popular deep learning models as well as widely used neural network architectures

Book DescriptionDeep 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

What you will learn

Set up a deep learning development environment on Amazon Web Services (AWS)
Apply GPU-powered instances as well as the deep learning AMI
Implement seq-to-seq networks for modeling natural language processing (NLP)
Develop an end-to-end speech recognition system
Build a system for pixel-wise semantic labeling of an image
Create a system that generates images and their regions

Who this book is forPython Deep Learning Projects is for you if you want to get insights into deep learning, data science, and artificial intelligence. This book is also for those who want to break into deep learning and develop their own AI projects.

It is assumed that you have sound knowledge of Python programming

Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
LISÄÄ OSTOSKORIIN
Tilaustuote | Arvioimme, että tuote lähetetään meiltä noin 12-15 arkipäivässä
Myymäläsaatavuus
Helsinki
Tapiola
Turku
Tampere
Python Deep Learning Projects - 9 projects demystifying neural network and deep learning models for building intelligent systemszoom
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ISBN:
9781788997096
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