Introduction to Deep Learning Business Applications for Developers
by Armando Vieira, Bernardete Ribeiro
Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and annotation, video processing and annotation, voice recognition, intelligent personal assistants, automated translation, and autonomous vehicles.An Introduction to Deep Learning Business Applications for Develop...
Price: $29.99 | Publisher: Apress | Release: 2018
Deep Learning with Applications Using Python 
by Navin Kumar Manaswi
Build deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications. Deep Learning with Applications Using Python covers topics such as chatbots, natural language ...
Price: $39.99 | Publisher: Apress | Release: 2018
Pro Machine Learning Algorithms
by Kishore Ayyadevara
Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so that you get a practical understanding of all the levers that can be tuned in a model...
Price: $37.99 | Publisher: Apress | Release: 2018
Deep Belief Nets in C++ and CUDA C: Volume 1
by Timothy Masters
Discover the essential building blocks of the most common forms of deep belief networks. At each step this book provides intuitive motivation, a summary of the most important equations relevant to the topic, and concludes with highly commented code for threaded computation on modern CPUs as well as massive parallel processing on computers with CUDA-capable video display cards.The first of three in a series ...
Price: $32.13 | Publisher: Apress | Release: 2018
Deep Belief Nets in C++ and CUDA C: Volume 2
by Timothy Masters
Discover the essential building blocks of a common and powerful form of deep belief net: the autoencoder. You'll take this topic beyond current usage by extending it to the complex domain for signal and image processing applications. Deep Belief Nets in C++ and CUDA C: Volume 2 also covers several algorithms for preprocessing time series and image data. These algorithms focus on the creation of complex...
Price: $37.99 | Publisher: Apress | Release: 2018
by Mathew Salvaris, Danielle Dean, Wee Hyong Tok
Get up-to-speed with Microsoft's AI Platform. Learn to innovate and accelerate with open and powerful tools and services that bring artificial intelligence to every data scientist and developer.Artificial Intelligence (AI) is the new normal. Innovations in deep learning algorithms and hardware are happening at a rapid pace. It is no longer a question of should I build AI into my business, but more abou...
Price: $37.99 | Publisher: Apress | Release: 2018
Deep Belief Nets in C++ and CUDA C: Volume 3
by Timothy Masters
Discover the essential building blocks of a common and powerful form of deep belief network: convolutional nets. This book shows you how the structure of these elegant models is much closer to that of human brains than traditional neural networks; they have a thought process that is capable of learning abstract concepts built from simpler primitives. These models are especially useful for image processing a...
Price: $34.99 | Publisher: Apress | Release: 2018
Practical Computer Vision Applications Using Deep Learning with CNNs
by Ahmed Fawzy Gad
Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the way you will cover artificial neural networks (ANNs), building one from scratch in...
Price: $43.34 | Publisher: Apress | Release: 2018
Applied Text Analysis with Python
by Benjamin Bengfort, Tony Ojeda, Rebecca Bilbro
From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical...
Price: $40.44 | Publisher: O'Reilly Media | Release: 2018
Introduction to Machine Learning with R
by Scott Burger
Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll first start to learn with regression modelling and then move into more advanced topics such as neural networks and tree-based methods.Finally, you'...
Price: $41.65 | Publisher: O'Reilly Media | Release: 2018