Deep learning – I

  • Introduction to Logistic Regression
  • Computation Graph and Gradient Descent
  • Introduction to Artificial Neuron (Perceptron)
  • Multi-Layer Perceptron
  • Introduction to Artificial Neural Networks
  • Designing Artificial Neural Networks with Keras
  • Gradient Decent Variants
  • Classification and Regression using Neural Networks

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