深度学习模型优化和调整

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上一讲： 3. An ANN model

下一讲： 5. The deep learning tuning process

视频列表

0 - Introduction
1. Optimizing neural networks
2. Prerequisites for the course
3. Setting up exercise files
1 - Introduction to Deep Learning Optimization
1. What is deep learning
2. Review of artificial neural networks
3. An ANN model
4. Model optimization and tuning
5. The deep learning tuning process
6. Experiment setups for the course
2 - Tuning the Deep Learning Network
1. Epoch and batch size tuning
2. Epoch and batch size experiment
3. Hidden layers tuning
4. Determining nodes in a layer
5. Choosing activation functions
6. Initializing weights
3 - Tuning Back Propagation
1. Vanishing and exploding gradients
2. Batch normalization
3. Optimizers
4. Optimizer experiment
5. Learning rate
6. Learning rate experiment
4 - Overfitting Management
1. Overfitting in ANNs
2. Regularization
3. Regularization experiment
4. Dropouts
5. Dropout experiment
5 - Model Tuning Exercise
1. Tuning exercise Problem statement
2. Acquire and process data
3. Tuning the network
4. Tuning backpropagation
5. Avoiding overfitting
6. Building the final model
6 - Conclusion
1. Continuing your deep learning journey