Cover Image

QR Code

Deep neural network design for radar applications

Other Authors:	Gurbuz, Sevgi Zubeyde
Subjects:	Machine learning -- > t Radar Electronic books
Online Access:	http://library.unisel.edu.my/web/guest/mylibrary

Similar Items

Civil engineering applications of ground penetrating radar
Published: (2015)

Airborne circularly polarized SAR : theory, system design, hardware implementation, and applications
by: Sri Sumantyo, Josaphat Tetuko

Generative adversarial networks and deep learning : theory and applications

Compressive sensing for urban radar

Deep learning : a visual approach
by: Glassner, Andrew S.

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

Ground penetrating radar : improving sensing and imaging through numerical modeling
by: Travassos, X. Lucas

Signal processing for multistatic radar systems : adaptive waveform selection, optimal geometries and pseudolinear tracking algorithms
by: Nguyen, Ngoc Hung

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

Handbook of research on deep learning innovations and trends

Introduction to deep learning : from logical calculus to artificial intelligence
by: Skansi, Sandro
Published: (2018)

Hands-on deep learning with R : a practical guide to designing, building, and improving neural network models using R
by: Pawlus, Michael

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

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

Deep learning with R cookbook : over 45 unique recipes to delve into neural network techniques using R 3.5.x
by: Gupta, Swarna

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

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

Brain and nature-inspired learning computation and recognition

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

Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more
by: Atienza, Rowel

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

Meta-learning : theory, algorithms and applications

Advances in neural network research and applications

Neural networks : algorithms, applications, and programming techniques
by: Freeman, James A
Published: (1991)

Machine learning for future wireless communications

A few things I know about her : a personally machine learning inspired approach to understand surrounding nature
by: Apolloni, Bruno

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

Diffuse algorithms for neural and neuro-fuzzy networks : with applications in control engineering and signal processing
by: Skorohod, Boris A

Deep learning and its applications for vehicle networks

Characterization of neural activity using complex network theory : an application to the study of schizophrenia
by: Gomez-Pilar, Javier

Artificial neural networks for renewable energy systems and real-world applications

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

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

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

Deep neural networks and data for automated driving : robustness, uncertainty quantification, and insights towards safety

Self-organizing neural maps : the retinotectal map and mechanisms of neural development : the retinotectal map and mechanisms of neural development : from retina to tectum
by: Schmidt, John T

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

An introduction to neural networks
by: Anderson, James A
Published: (1995)

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

Neural networks : a comprehensive foundation
by: Haykin, Simon
Published: (1999)