Description: Further DetailsTitle: Advanced Deep Learning with PythonCondition: NewSubtitle: Design and implement advanced next-generation AI solutions using TensorFlow and PyTorchEAN: 9781789956177ISBN: 9781789956177Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 12/12/2019Description: Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural networks using the Python ecosystemKey FeaturesGet to grips with building faster and more robust deep learning architecturesInvestigate and train convolutional neural network (CNN) models with GPU-accelerated libraries such as TensorFlow and PyTorchApply deep neural networks (DNNs) to computer vision problems, NLP, and GANsBook Description In order to build robust deep learning systems, you’ll need to understand everything from how neural networks work to training CNN models. In this book, you’ll discover newly developed deep learning models, methodologies used in the domain, and their implementation based on areas of application. You’ll start by understanding the building blocks and the math behind neural networks, and then move on to CNNs and their advanced applications in computer vision. You'll also learn to apply the most popular CNN architectures in object detection and image segmentation. Further on, you’ll focus on variational autoencoders and GANs. You’ll then use neural networks to extract sophisticated vector representations of words, before going on to cover various types of recurrent networks, such as LSTM and GRU. You’ll even explore the attention mechanism to process sequential data without the help of recurrent neural networks (RNNs). Later, you’ll use graph neural networks for processing structured data, along with covering meta-learning, which allows you to train neural networks with fewer training samples. Finally, you’ll understand how to apply deep learning to autonomous vehicles. By the end of this book, you’ll have mastered key deep learning concepts and the different applications of deep learning models in the real world.What you will learnCover advanced and state-of-the-art neural network architecturesUnderstand the theory and math behind neural networksTrain DNNs and apply them to modern deep learning problemsUse CNNs for object detection and image segmentationImplement generative adversarial networks (GANs) and variational autoencoders to generate new imagesSolve natural language processing (NLP) tasks, such as machine translation, using sequence-to-sequence modelsUnderstand DL techniques, such as meta-learning and graph neural networksWho this book is for This book is for data scientists, deep learning engineers and researchers, and AI developers who want to further their knowledge of deep learning and build innovative and unique deep learning projects. Anyone looking to get to grips with advanced use cases and methodologies adopted in the deep learning domain using real-world examples will also find this book useful. Basic understanding of deep learning concepts and working knowledge of the Python programming language is assumed.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: Ivan VasilevGenre: Computing & InternetISBN-10: 178995617XRelease Year: 2019 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Advanced Deep Learning with Python
Title: Advanced Deep Learning with Python
Subtitle: Design and implement advanced next-generation AI solutions using
EAN: 9781789956177
ISBN: 9781789956177
Release Date: 12/12/2019
Release Year: 2019
Country/Region of Manufacture: GB
Item Height: 93mm
Genre: Computing & Internet
ISBN-10: 178995617X
Number of Pages: 468 Pages
Language: English
Publication Name: Advanced Deep Learning with Python : Design and Implement Advanced Next-Generation AI Solutions Using TensorFlow and Pytorch
Publisher: Packt Publishing, The Limited
Publication Year: 2019
Subject: Data Modeling & Design, Neural Networks, Computer Vision & Pattern Recognition
Type: Textbook
Item Length: 3.6 in
Author: Ivan Vasilev
Subject Area: Computers
Item Width: 3 in
Format: Trade Paperback