Table of Contents
Preface 4 Introduction 6
- Logistic Regression as a Neural Network - 8
- Implementing a simple Neural Network - 23
- Building a L- Layer Deep Learning Network - 48
- Deep Learning network with the Softmax - 85
- MNIST classification with Softmax - 103
- Initialization, regularization in Deep Learning - 121
- Gradient Descent Optimization techniques - 167
- Gradient Check in Deep Learning - 197
- Appendix A - 214
- Appendix 1 – Logistic Regression as a Neural Network - 220
- Appendix 2 - Implementing a simple Neural Network - 227
- Appendix 3 - Building a L- Layer Deep Learning Network - 240
- Appendix 4 - Deep Learning network with the Softmax - 259
- Appendix 5 - MNIST classification with Softmax - 269
- Appendix 6 - Initialization, regularization in Deep Learning - 302
- Appendix 7 - Gradient Descent Optimization techniques - 344
- Appendix 8 – Gradient Check - 405 References - 475