Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Deep Learning Essentials: Your hands-on guide to the fundamentals of deep learning and neural network modeling
Deep Learning Essentials: Your hands-on guide to the fundamentals of deep learning and neural network modeling

Get to grips with the essentials of deep learning by leveraging the power of Python

Key Features

  • Your one-stop solution to get started with the essentials of deep learning and neural network modeling
  • Train different kinds of neural networks to tackle various problems in...
Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python
Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python

Develop real-world applications powered by the latest advances in intelligent systems

Key Features

  • Gain real-world contextualization using deep learning problems concerning research and application
  • Get to know the best practices to improve and optimize your machine...
Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch
Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch

Build neural network models in text, vision and advanced analytics using PyTorch

Key Features

  • Learn PyTorch for implementing cutting-edge deep learning algorithms.
  • Train your neural networks for higher speed and flexibility and learn how to implement them in various...
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

  • Explore deep learning across computer vision, natural language processing (NLP), and image processing
  • Discover best practices for the training of deep neural...
Pro JavaFX 9: A Definitive Guide to Building Desktop, Mobile, and Embedded Java Clients
Pro JavaFX 9: A Definitive Guide to Building Desktop, Mobile, and Embedded Java Clients

At the annual JavaOne conference in May 2007, Sun Microsystems announced a new product family named JavaFX. Its stated purpose includes enabling the development and deployment of content-rich applications on consumer devices such as cell phones, televisions, in-dash car systems, and browsers. Josh Marinacci, a software engineer at Sun, made...

Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA
Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA

Build GPU-accelerated high performing applications with Python 2.7, CUDA 9, and open source libraries such as PyCUDA and scikit-cuda. We recommend the use of Python 2.7 as this version has stable support across all libraries used in this book.

Key Features

  • Get to grips with GPU programming...
OpenCL Programming Guide
OpenCL Programming Guide

Industry pundits love drama. New products don’t build on the status quo to make things better. They “revolutionize” or, better yet, define a “new paradigm.” And, of course, given the way technology evolves, the results rarely are as dramatic as the pundits make it seem.

Over the past decade,...

Qt 5 and OpenCV 4 Computer Vision Projects: Get up to speed with cross-platform computer vision app development by building seven practical projects
Qt 5 and OpenCV 4 Computer Vision Projects: Get up to speed with cross-platform computer vision app development by building seven practical projects

Create image processing, object detection and face recognition apps by leveraging the power of machine learning and deep learning with OpenCV 4 and Qt 5

Key Features

  • Gain practical insights into code for all projects covered in this book
  • Understand modern computer vision...
Beginning Machine Learning in iOS: CoreML Framework
Beginning Machine Learning in iOS: CoreML Framework
Implement machine learning models in your iOS applications. This short work begins by reviewing the primary principals of machine learning and then moves on to discussing more advanced topics, such as CoreML, the framework used to enable machine learning tasks in Apple products. 

Many applications on iPhone use machine
...
Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

Build, scale, and deploy deep neural network models using the star libraries in Python

Key Features

  • Delve into advanced machine learning and deep learning use cases using Tensorflow and Keras
  • Build, deploy, and scale end-to-end deep neural network models in a production...
Starling Game Development Essentials
Starling Game Development Essentials

Develop and deploy isometric turn-based games using Starling

Overview

  • Create a cross-platform Starling Isometric game
  • Add enemy AI and multiplayer capability
  • Explore the complete source code for the Web and cross-platform game develpment

In...

R Deep Learning Projects: Master the techniques to design and develop neural network models in R
R Deep Learning Projects: Master the techniques to design and develop neural network models in R

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...
Result Page: 6 5 4 3 2 1 
©2019 LearnIT (support@pdfchm.net) - Privacy Policy