Introduction to deep learning
  • 소개
  • What is deep learning?
Knowledges you have to know
  • Perceptron
  • Perceptron 2 : Limitation of perceptron
  • Perceptron to Deep learning : Linearity and nonlinearity
  • Perceptron to Deep learning 2 : activation function
  • Loss functions : How can we make neural network do what we want.
  • Gradient decent : How can we make neural network do what we want
  • Gradient vanishing and Gradient Exploding
  • Activation function 2 : what is relu?
  • Optimizers 1 : Is gradient decent perfect ?
  • Underfitting and Overfitting : There's no perfect neural network.
  • what you have to know : before starting neural network.