更新时间：2021-06-18 18:13:53
封面
版权信息
Preface
1. Introduction to Machine Learning with Keras
Introduction
Data Representation
Data Preprocessing
Life Cycle of Model Creation
scikit-learn
Keras
Model Training
Model Tuning
Summary
2. Machine Learning versus Deep Learning
Linear Transformations
Introduction to Keras
3. Deep Learning with Keras
Building Your First Neural Network
Model Evaluation
4. Evaluating Your Model with Cross-Validation Using Keras Wrappers
Cross-Validation
Cross-Validation for Deep Learning Models
Model Selection with Cross-Validation
5. Improving Model Accuracy
Regularization
L1 and L2 Regularization
Dropout Regularization
Other Regularization Methods
Hyperparameter Tuning with scikit-learn
6. Model Evaluation
Accuracy
Imbalanced Datasets
Confusion Matrix
7. Computer Vision with Convolutional Neural Networks
Computer Vision
Convolutional Neural Networks
The Architecture of a CNN
Image Augmentation
8. Transfer Learning and Pre-Trained Models
Pre-Trained Sets and Transfer Learning
Fine-Tuning a Pre-Trained Network
9. Sequential Modeling with Recurrent Neural Networks
Sequential Memory and Sequential Modeling
Recurrent Neural Networks (RNNs)
Long Short-Term Memory (LSTM)
Appendix
