Advanced Deep Learning with R

Advanced Deep Learning with R
Author :
Publisher : Packt Publishing Ltd
Total Pages : 339
Release :
ISBN-10 : 9781789534986
ISBN-13 : 1789534984
Rating : 4/5 (984 Downloads)

Book Synopsis Advanced Deep Learning with R by : Bharatendra Rai

Download or read book Advanced Deep Learning with R written by Bharatendra Rai and published by Packt Publishing Ltd. This book was released on 2019-12-17 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover best practices for choosing, building, training, and improving deep learning models using Keras-R, and TensorFlow-R libraries Key FeaturesImplement deep learning algorithms to build AI models with the help of tips and tricksUnderstand how deep learning models operate using expert techniquesApply reinforcement learning, computer vision, GANs, and NLP using a range of datasetsBook Description Deep learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data. Advanced Deep Learning with R will help you understand popular deep learning architectures and their variants in R, along with providing real-life examples for them. This deep learning book starts by covering the essential deep learning techniques and concepts for prediction and classification. You will learn about neural networks, deep learning architectures, and the fundamentals for implementing deep learning with R. The book will also take you through using important deep learning libraries such as Keras-R and TensorFlow-R to implement deep learning algorithms within applications. You will get up to speed with artificial neural networks, recurrent neural networks, convolutional neural networks, long short-term memory networks, and more using advanced examples. Later, you'll discover how to apply generative adversarial networks (GANs) to generate new images; autoencoder neural networks for image dimension reduction, image de-noising and image correction and transfer learning to prepare, define, train, and model a deep neural network. By the end of this book, you will be ready to implement your knowledge and newly acquired skills for applying deep learning algorithms in R through real-world examples. What you will learnLearn how to create binary and multi-class deep neural network modelsImplement GANs for generating new imagesCreate autoencoder neural networks for image dimension reduction, image de-noising and image correctionImplement deep neural networks for performing efficient text classificationLearn to define a recurrent convolutional network model for classification in KerasExplore best practices and tips for performance optimization of various deep learning modelsWho this book is for This book is for data scientists, machine learning practitioners, deep learning researchers and AI enthusiasts who want to develop their skills and knowledge to implement deep learning techniques and algorithms using the power of R. A solid understanding of machine learning and working knowledge of the R programming language are required.


Advanced Deep Learning with R Related Books

Advanced Deep Learning with R
Language: en
Pages: 339
Authors: Bharatendra Rai
Categories: Computers
Type: BOOK - Published: 2019-12-17 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Discover best practices for choosing, building, training, and improving deep learning models using Keras-R, and TensorFlow-R libraries Key FeaturesImplement dee
Advanced Deep Learning with Python
Language: en
Pages: 456
Authors: Ivan Vasilev
Categories: Computers
Type: BOOK - Published: 2019-12-12 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural networks using the P
Advanced Machine Learning Algorithms for Complex Financial Applications
Language: en
Pages: 316
Authors: Irfan, Mohammad
Categories: Business & Economics
Type: BOOK - Published: 2023-01-09 - Publisher: IGI Global

DOWNLOAD EBOOK

The advancements in artificial intelligence and machine learning have significantly affected the way financial services are offered and adopted today. Important
Deep Learning By Example
Language: en
Pages: 442
Authors: Ahmed Menshawy
Categories: Computers
Type: BOOK - Published: 2018-02-28 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Grasp the fundamental concepts of deep learning using Tensorflow in a hands-on manner Key Features Get a first-hand experience of the deep learning concepts and
Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities
Language: en
Pages: 271
Authors: Chakraborty, Shouvik
Categories: Computers
Type: BOOK - Published: 2020-03-13 - Publisher: IGI Global

DOWNLOAD EBOOK

Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order to maintain high lev