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Overview of Deep Learning Basics – II

  • Post author:N S Punn
  • Post published:April 9, 2021
  • Post category:Tutorial
  • Post comments:0 Comments

Convolution Neural Network OverviewConvolution layerActivation layerPooling layer Overview Among the various deep learning models such as stacked auto-encoders [1], deep Boltzmann machines [2], deep conventional extreme learning machines [3], deep…

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Overview of Deep Learning Basics – I

  • Post author:N S Punn
  • Post published:April 5, 2021
  • Post category:Tutorial
  • Post comments:0 Comments

What is covered? IntroductionPerceptronNeural networkActivation functionLoss functionGradient descentSummaryRecommended resources Prologue Deep learning is a form of machine learning that uses a model of computing that mimics the structure of the…

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TensorFlow, CUDA and cuDNN Compatibility

  • Post author:N S Punn
  • Post published:April 2, 2021
  • Post category:Configuration setup/Development
  • Post comments:0 Comments

Purpose TensorFlow is an open source library that helps you to build machine learning and deep learning models. It is widely utilized library among researchers and organizations to smart applications.…

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Recent Posts

  • Liver fibrosis classification from ultrasound using machine learning: a systematic literature review
  • Exploring Single-Qubit and Multi-Qubit States with Qiskit
  • Quantum Computing Part 1
  • KANs: The Future of Neural Networks? Exploring the Power of Learnable Activations
  • Improved Interpretability and Explainability of Deep Learning Models
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