Machine Learning Note 1
Machine Learning
Looking for a Function
- Speech Recognition
- Handwritten Recongnition
- Weather Forecast
- Play video games
Machine Learning Framework
- Models: Hypothesis Function Set
- Training: Pick the best function
- Testing: test the best function
Deep Learning
- Production line: a very complex function
- Deep Model: All function are learned from data
- A Single Neuron: A Single Simple Function
Why Speed Matters
- Traning time: Big data increases the training time
- Inference time: not patient to wait
Why Deeper is Better
- More parameters
- Universality Theorem
How to Apply Deep Learning
- Input domain: Aggregate Information
- Output domain: Classification
Layer Output Relation
Neural Network Formulation
Chain Rule
we can get this:
Backpropagation
Backward Pass And Forward Pass
Momentum
考虑之前数据的惯性作用,避免无法突破 local minimum