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Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

  • Build a strong foundation in neural networks and deep learning with Python libraries
  • Explore advanced deep learning techniques and their applications...
Satellite Image Analysis: Clustering and Classification (SpringerBriefs in Applied Sciences and Technology)
Satellite Image Analysis: Clustering and Classification (SpringerBriefs in Applied Sciences and Technology)
Thanks to recent advances in sensors, communication and satellite technology, data storage, processing and networking capabilities, satellite image acquisition and mining are now on the rise. In turn, satellite images play a vital role in providing essential geographical information. Highly accurate automatic classification and decision...
Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services
Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services
Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and must be considered throughout all phases of the project life cycle. Practical Java Machine Learning helps you understand the importance of data and how to organize it for use...
Early Computing in Britain: Ferranti Ltd. and Government Funding, 1948 ? 1958 (History of Computing)
Early Computing in Britain: Ferranti Ltd. and Government Funding, 1948 ? 1958 (History of Computing)

This unique book presents the story of the pioneering manufacturing company Ferranti Ltd. – producer of the first commercially-available computers – and of the nine end-user organisations who purchased these machines with government help in the period 1951 to 1957. The text presents personal reminiscences from many of the...

Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python
Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python
Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. 

The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0.
...
Introduction to Symplectic Geometry
Introduction to Symplectic Geometry
This introductory book offers a unique and unified overview of symplectic geometry, highlighting the differential properties of symplectic manifolds. It consists of six chapters:  Some Algebra Basics, Symplectic Manifolds, Cotangent Bundles, Symplectic G-spaces, Poisson Manifolds, and A Graded Case, concluding with a discussion of the...
C++ Concurrency in Action
C++ Concurrency in Action
Summary

This bestseller has been updated and revised to cover all the latest changes to C++ 14 and 17! C++ Concurrency in Action, Second Edition teaches you everything you need to write robust and elegant multithreaded applications in C++17.

Purchase of the print book includes a free eBook in
...
Machine Learning for Business: Using Amazon SageMaker and Jupyter
Machine Learning for Business: Using Amazon SageMaker and Jupyter
Summary
  • Imagine predicting which customers are thinking about switching to a competitor or flagging potential process failures before they happen
  • Think about the benefits of forecasting tedious business processes and back-office tasks
  • Envision quickly gauging customer...
Foundations of Libvirt Development: How to Set Up and Maintain a Virtual Machine Environment with Python
Foundations of Libvirt Development: How to Set Up and Maintain a Virtual Machine Environment with Python
Discover the essential concepts of libvirt development and see how to interface to Linux virtualization environments, such as QEMU/KVM, XEN, Virtuozzo, VMWare ESX, LXC, Bhyve, and more. This book will prepare you to set up and maintain a virtual machine environment.

You'll start by reviewing
...
Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow

Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries

Key Features

  • Implement Q-learning and Markov models with Python and OpenAI
  • Explore the power of TensorFlow to build self-learning models
  • Eight AI...
MATLAB Machine Learning Recipes: A Problem-Solution Approach
MATLAB Machine Learning Recipes: A Problem-Solution Approach
Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem.

All code in MATLAB Machine Learning Recipes:  A Problem-Solution Approach is executable....
Machine Learning with the Raspberry Pi: Experiments with Data and Computer Vision (Technology in Action)
Machine Learning with the Raspberry Pi: Experiments with Data and Computer Vision (Technology in Action)

Using the Pi Camera and a Raspberry Pi board, expand and replicate interesting machine learning (ML) experiments.  This book provides a solid overview of ML and a myriad of underlying topics to further explore. Non-technical discussions temper complex technical explanations to make the hottest and most complex topic in the...

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