Yuxi Hayden Liu: 5 books
Deep Learning with R for Beginners
Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet
Language: English
Release Date: May 20, 2019
Explore the world of neural networks by building powerful deep learning models using the R ecosystem
Key Features
Get to grips with the fundamentals of deep learning and neural networks
Use R 3.5 and its libraries and APIs to build deep learning models for computer vision and text processing
Implement...
R Deep Learning Projects
Master the techniques to design and develop neural network models in R
Language: English
Release Date: February 22, 2018
5 real-world projects to help you master deep learning concepts
Key Features
Master the different deep learning paradigms and build real-world projects related to text generation, sentiment analysis, fraud detection, and more
Get to grips with R's impressive range of Deep Learning libraries and...
by Yuxi (Hayden) Liu
Language: English
Release Date: May 31, 2017
Language: English
Release Date: May 31, 2017
Take tiny steps to enter the big world of data science through this interesting guide
About This Book
Learn the fundamentals of machine learning and build your own intelligent applications
Master the art of building your own machine learning systems with this example-based practical guide
Work...
Python Machine Learning By Example
Implement machine learning algorithms and techniques to build intelligent systems, 2nd Edition
Language: English
Release Date: February 28, 2019
Grasp machine learning concepts, techniques, and algorithms with the help of real-world examples using Python libraries such as TensorFlow and scikit-learn
Key Features
Exploit the power of Python to explore the world of data mining and data analytics
Discover machine learning algorithms to solve...
Hands-On Deep Learning Architectures with Python
Create deep neural networks to solve computational problems using TensorFlow and Keras
Language: English
Release Date: April 30, 2019
Concepts, tools, and techniques to explore deep learning architectures and methodologies
Key Features
Explore advanced deep learning architectures using various datasets and frameworks
Implement deep architectures for neural network models such as CNN, RNN, GAN, and many more
Discover design...