- 소개
- What is deep learning?
- 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.