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Multilayer Neural Network
- Inherit tf.keras.Model can built own neural network
- Every neural have several weights and a bias, and can handle a full input
- Use tf.keras.Sequential()
Convolutional Neural Networks (CNN)
- Can consider the relationship among several pixels
- Special Layers:
- Convolutional Layer
- Won’t change the scale of the input if the stride is 1 * 1
- Pooling Layer
- Will generates more features but won’t increase the calculation
Recurrent Neural Networks (RNN)
- Works well in the time-based classification
- Make sense of what they’ve seen before, both short and long-term memory
- Scenarios:
- Video Processing
- Speech Processing
- Sentiment Analysis
- Time series Data
- Key Implements
- What long term memory should be kept or removed
- What new memory should be remembered as the long term memory
- What new memory should be remembered as the short term memory