[ML 스터디] Chapter2. Deep Nueral Network

Main Reference:
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Aurelien Geron
- MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
- Calculus on Computational Graphs: Backpropagation
- 혁펜하임의 딥러닝

🚌 Deep Neural Network

• Neural Network Intro
• Activation Function
  • Perceptron
  • Logistic
  • ReLU
• BackPropagation
• Initial Value Setting
• Dropout
• Optimizer

🚌 Lecture Note

Neural Network Intro

Activation Function

BackPropagation

Initial Value Setting

Dropout

Optimizer

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