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Fundamentals of Deep Learning

Deep Learning is a powerful AI approach that uses multi-layered artificial detection, speech recognition, and language translation. Using deep learning, computers or subtle for expert-written software. In this work...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2022
  • O
  • Link
Result

Exploring zero-day attacks on machine learning and deep learning algorithms

Main topics of the document: Zero-Day attacks; machine learning; deep learning; security; models...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • D
  • Link
Result

Fundamentals of Deep Learning for Computer Vision (IT4I training)

Attendees learned how to: Implement common deep learning workflows'll be able to start solving problems on your own with deep learning. NVIDIA Deep Learning Institute (DLI) offers ha...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2020
  • O
Result

Radio Modulation Classification Using Deep Learning Architectures

Paper deals with radio modulation classification using deep learning architectures...

Electrical and electronic engineering

  • 2021
  • D
  • Link
Result

Engage in deep learning: how transformative pedagogy can help?

This workshop will describe the key features of deep learning and how it differs from surface learning, and introduce effective communication skills, including purposeful questioning, scaffolding and dialogical approaches t...

Education, general; including training, pedagogy, didactics [and education systems]

  • 2020
  • W
  • Link
Result

Analysis of state-of-the art solutions in machine learning with special emphasis on deep learning

The goal of the analysis is to provide a complex set of information relevant for application of machine learning and deep learning in automotive industry....

Automation and control systems

  • 2017
  • Vsouhrn
Result

Deep learning for magnetic resonance spectroscopy: a time-frequency analysis approach

In this study, we verify the hypothesis that deep learning in combination with time-frequency analsis can be used for metabolite quantification and yeilds results more robust than deep learning trained with magneti...

Medical engineering

  • 2020
  • D
  • Link
Result

AIQ-DQN: Deep Q-Networks Agents Module for the AIQ Test

Main topics of the document: Reinforcement learning; Deep Q-Learning; Evaluating intelligence of artificial systems...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • R
  • Link
Result

Deep learning: Research and applications

This book focuses on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it provides an insight of deep neural networks in action with...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2020
  • B
  • Link
Result

Deep Learning with Relational Logic Representations

Deep learning has been used with great success in a number of diverse intelligence. However, the current deep learning models are still principally limited in many ways. This book, `Deep Learning...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2022
  • B
  • Link
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