Packt Publishing: 4853 books
by Sebastian Raschka, Vahid Mirjalili
Language: English
Release Date: September 20, 2017
Language: English
Release Date: September 20, 2017
Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.
About This Book
Second edition of the bestselling book on Machine Learning
A practical approach to key frameworks in data science, machine learning, and deep...
by Sebastian Raschka, David Julian, John Hearty
Language: English
Release Date: August 31, 2016
Language: English
Release Date: August 31, 2016
Leverage benefits of machine learning techniques using Python
About This Book
Improve and optimise machine learning systems using effective strategies.
Develop a strategy to deal with a large amount of data.
Use of Python code for implementing a range of machine learning algorithms and techniques.
Who...
by Giuseppe Bonaccorso
Language: English
Release Date: July 24, 2017
Language: English
Release Date: July 24, 2017
Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide
About This Book
Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide.
Your one-stop solution for everything...
by Valentino Zocca, Gianmario Spacagna, Daniel Slater
Language: English
Release Date: April 28, 2017
Language: English
Release Date: April 28, 2017
Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python.
About This Book
Explore and create intelligent systems using cutting-edge deep learning techniques
Implement deep learning algorithms and work with revolutionary libraries in Python
Get...
by Alan M.F. Souza, Fabio M. Soares
Language: English
Release Date: January 15, 2016
Language: English
Release Date: January 15, 2016
Create and unleash the power of neural networks by implementing professional Java code
About This Book
Learn to build amazing projects using neural networks including forecasting the weather and pattern recognition
Explore the Java multi-platform feature to run your personal neural networks everywhere
This...
by Dr. Joshua F. Wiley
Language: English
Release Date: March 30, 2016
Language: English
Release Date: March 30, 2016
Build automatic classification and prediction models using unsupervised learning
About This Book
Harness the ability to build algorithms for unsupervised data using deep learning concepts with R
Master the common problems faced such as overfitting of data, anomalous datasets, image recognition,...
by Dipayan Dev
Language: English
Release Date: February 20, 2017
Language: English
Release Date: February 20, 2017
Build, implement and scale distributed deep learning models for large-scale datasets
About This Book
Get to grips with the deep learning concepts and set up Hadoop to put them to use
Implement and parallelize deep learning models on Hadoop's YARN framework
A comprehensive tutorial to distributed...
Deep Learning with TensorFlow
Explore neural networks and build intelligent systems with Python, 2nd Edition
Language: English
Release Date: March 30, 2018
Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow.
Key Features
Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow
Explore deep neural networks and layers of data abstraction...
Hands-On Reinforcement Learning with Python
Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
Language: English
Release Date: June 28, 2018
A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python
Key Features
Your entry point into the world of artificial intelligence using the power of Python
An example-rich guide to master various RL and DRL algorithms
Explore various state-of-the-art...
Deep Learning Quick Reference
Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras
Language: English
Release Date: March 9, 2018
Dive deeper into neural networks and get your models trained, optimized with this quick reference guide
Key Features
A quick reference to all important deep learning concepts and their implementations
Essential tips, tricks, and hacks to train a variety of deep learning models such as CNNs, RNNs,...
Deep Learning By Example
A hands-on guide to implementing advanced machine learning algorithms and neural networks
Language: English
Release Date: February 28, 2018
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 techniques with this easy-to-follow guide
Train different types of neural networks using Tensorflow for real-world problems in language...
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 Dr. PKS Prakash, Achyutuni Sri Krishna Rao
Language: English
Release Date: August 4, 2017
Language: English
Release Date: August 4, 2017
Powerful, independent recipes to build deep learning models in different application areas using R libraries
About This Book
Master intricacies of R deep learning packages such as mxnet & tensorflow
Learn application on deep learning in different domains using practical examples from...
by Gavin Hackeling
Language: English
Release Date: September 11, 2017
Language: English
Release Date: September 11, 2017
Use scikit-learn to solve real-world problems with machine learningAbout This BookGet beyond the basics and design efficient machine learning systems using scikit-learnMaster the popular machine learning algorithms, including decision trees, logistic regression, and support vector machinesA practical,...