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Deep Learning Applications, Volume 2|M. Arif Wani

Deep Learning Applications, Volume 2

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Overview

Deep Learning Based Recommender Systems.- A Comprehensive Set of Novel Residual Blocks for Deep Learning Architectures for Diagnosis of Retinal Diseases from Optical Coherence Tomography Images.- Three-Stream Convolutional Neural Network for Human Fall Detection.- Diagnosis of Bearing Faults in Electrical Machines using Long Short-Term Memory.- Automatic Solar Panel Detection from High Resolution Orthoimagery Using Deep Learning Segmentation Networks.- Training Deep Learning Sequence Models to Understand Driver Behavior.- Exploiting Spatio-temporal Correlation in RF Data using Deep Learning.- Human Target Detection and Localization with Radars Using Deep Learning.- Thresholding Strategies for Deep Learning with Highly Imbalanced Big Data.- Vehicular Localisation at High and Low Estimation Rates during GNSS Outages: A Deep Learning Approach.- Multi-Adversarial Variational Autoencoder Nets for Simultaneous Image Generation and Classification.- Non-convex Optimization using Parameter Continuation Methods for Deep Neural Networks.

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Details

  • ISBN-13: 9789811567582
  • ISBN-10: 9811567581
  • Publisher: Springer
  • Publish Date: September 2020
  • Dimensions: 9.21 x 6.14 x 0.75 inches
  • Shipping Weight: 1.36 pounds
  • Page Count: 300

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