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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...
Computer Explorations in Signals and Systems Using MATLAB
Computer Explorations in Signals and Systems Using MATLAB
This book provides computer exercises for an undergraduate course on signals and linear systems. Such a course or sequence of courses forms an important part of most engineering curricula. This book was primarily designed as a companion to the second edition of Signals and Systems by Oppenheim and Willsky with Nawab. While the...
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...
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...
Building Intelligent .NET Applications: Agents, Data Mining, Rule-Based Systems, and Speech Processing
Building Intelligent .NET Applications: Agents, Data Mining, Rule-Based Systems, and Speech Processing

Artificial intelligence (AI) has been in existence almost as long as computers. However, only recently have AI techniques been widely incorporated by companies to enhance

traditional business applications.

Building Intelligent .NET Applications is...

Anatomy & Physiology for Speech, Language, and Hearing
Anatomy & Physiology for Speech, Language, and Hearing

NOTE: This book comes with supplementary content on a PluralPlus companion website. If you purchase or rent a used copy of the printed book, the code to access the website printed inside the book may have been previously redeemed/used or be incorrect and you will not be able to use it. To guarantee access to the website, it is...

Learn Robotics Programming: Build and control autonomous robots using Raspberry Pi 3 and Python
Learn Robotics Programming: Build and control autonomous robots using Raspberry Pi 3 and Python

Gain experience of building a next-generation collaboration robot

Key Features

  • Get up and running with the fundamentals of robotic programming
  • Program a robot using Python and the Raspberry Pi 3
  • Learn to build a smart robot with interactive and AI-enabled...
Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more
Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

Take your NLP knowledge to the next level and become an AI language understanding expert by mastering the quantum leap of Transformer neural network models

Key Features

  • Build and implement state-of-the-art language models, such as the original Transformer, BERT, T5, and GPT-2, using...
Handbook of Formulas and Tables for Signal Processing (Electrical Engineering Handbook)
Handbook of Formulas and Tables for Signal Processing (Electrical Engineering Handbook)
Signal processing is a broad and timeless area. The term "signal" includes audio, video, speech, image, communication, geophysical, sonar, radar, medical, and more. Signal processing applies to the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and...
Handbook of Pattern Recognition and Computer Vision
Handbook of Pattern Recognition and Computer Vision

Dedicated to the memory of the late Professor King Sun Fu (1930-1985), the handbook series, with first edition (1993), second edition (1999) and third edition (2005), provides a comprehensive, concise and balanced coverage of the progress and achievements in the field of pattern recognition and computer vision in the last twenty years. This is a...

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...
Clinical Neurological Examination and Localization
Clinical Neurological Examination and Localization
Bedside Neurological examination is an important tool in diagnosing neurological disorders .  Despite significant advances in the investigations available for diagnosing neurological disorders bedside neurological examination remains the cornerstone in diagnosing neurological disorders and should  not only  be conducted prior...
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