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Artificial Neural Networks(ANN) Made Easy

Artificial Neural Networks(ANN) Made Easy

Artificial Neural Networks(ANN) Made Easy

Artificial Neural Networks or ANN is an information processing paradigm that is inspired by the way the biological nervous system such as brain process information by Statinfer Solutions

What you'll learn

  • ANN Introduction
  • ANN Model Building
  • ANN Hyper parameters
  • Fine-tuning and Selecting ANN models
  • Shallow and Deep Neural Networks
  • Building ANN Models in Python, TensorFlow and Keras

Description
Course Covers below topics in detail

Quick recap of model building and validation

  • Introduction to ANN
  • Hidden Layers in ANN
  • Back Propagation in ANN
  • ANN model building on Python
  • TensorFlow Introduction
  • Building ANN models in TensorFlow
  • Keras Introduction
  • ANN hyper-parameters
  • Regularization in ANN
  • Activation functions
  • Learning Rate and Momentum
  • Optimization Algorithms
  • Basics of Deep Learning

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