Cover Image

QR Code

Graph learning and network science for natural language processing

Other Authors:	Garg, Muskan, Gupta, Amit Kumar, Prasad, Rajesh
Series:	Computational intelligence techniques
Subjects:	Natural language processing (Computer science) Graph theory System analysis Electronic books
Online Access:	http://library.unisel.edu.my/web/guest/mylibrary

Similar Items

Deep learning for natural language processing : a gentle introduction
by: 9781316515662

Natural language processing in Artificial Intelligence

Python natural language processing : explore NLP with machine learning and deep lerning techniques
by: Thanaki, Jalaj

Analysis and application of natural language and speech processing

Natural language processing for global and local business

Natural language understanding and cognitive robotics
by: Yokota, Masao

Natural language processing with transformers : building language applications with Hugging Face
by: Tunstall, Lewis

Deep learning approach for natural language processing, speech, and computer vision : techniques and use cases
by: Kumar, L. Ashok

Auditory interfaces
by: Serafin, Stefania

Neural networks, machine learning, and image processing : mathematical modelling and applications

Learning deep learning : theory and practice of neural networks, computer vision, nlp, and transformers using tensorflow
by: Ekman, Magnus

Analysis and visualization of discrete data using neural networks
by: Koyamada, Koji

Foundations of deep reinforcement learning : theory and practice in Python
by: Graesser, Laura Harding

Deep neuro-fuzzy systems with Python : with case studies and applications from the industry
by: Singh, Himanshu

Spoken language systems
Published: (2005)

Hands-on Python deep learning for the Web : integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow
by: Singh, Anubhav

The deep learning with Keras workshop : an interactive approach to understanding deep learning with Keras
by: Moocarme, Matthew

Zeroing neural networks : finite-time convergence design, analysis and applications
by: Xiao, Lin

Static and dynamic neural networks : from fundamentals to advanced theory
by: Gupta, Madan M
Published: (2003)

Applied machine learning with python
by: Giussani, Andrea

Neuro-fuzzy and soft computing : a computational approach to learning and machine intelligence
by: Jang, Jyh-Shing Roger
Published: (1997)

Distributed systems : theory and applications
by: Ghosh, Ratan K.

Text analytics : an introduction to the science and applications of unstructured information analysis
by: Atkinson-Abutridy, John

Discovering computers : living in a digital world : living in a digital world : fundamentals
by: Shelly, Gary B
Published: (2011)

Chatbots and the domestication of AI : a relational approach
by: Kempt, Hendrik

Guide to scientific computing in C++
by: Pitt-Francis, Joe
Published: (2017)

Real-time IoT imaging with deep neural networks : using Java on the Raspberry Pi 4
by: Modrzyk, Nicolas

The handbook of computational linguistics and natural language processing

Neural and adaptive systems : fundamentals through simulations
by: Principe, Jose. C
Published: (2000)

Emerging capabilities and applications of artificial higher order neural networks
by: Zhang, Ming

PyTorch artificial intelligence fundamentals : a recipe-based approach to design, build and deploy your own AI models with PyTorch 1.x
by: Mathew, Jibin

PyTorch recipes : a problem-solution approach to build, train and deploy neural network models
by: Mishra, Pradeepta

Machine learning with neural networks : an introduction for scientists and engineers
by: Mehlig, Bernhard

Neural networks and deep learning : a textbook
by: Aggarwal, Charu C
Published: (2018)

Artificial intelligence for cognitive modeling : theory and practice
by: Dutta, Pijush

Neural networks modeling and control : applications for unknown nonlinear delayed systems in discrete time

Introduction to Python for science and engineering
by: Pine, David J

Brain and nature-inspired learning computation and recognition

Neural networks : a classroom approach
by: Kumar, Satish
Published: (2004)

Artificial neural networks
by: Yegnanarayana, B
Published: (1999)